Feasibility
MicrosoftOfficialPublished by Microsoft
- Skill
- Workflow
- Software development
- CC-BY-4.0
- Low risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The feasibility skill provides a structured approach to assessing the viability of data and machine learning projects. It enforces a rigorous, machine-readable format using a constrained YAML block embedded within a Markdown document. By utilizing UUID-based identity, lifecycle lineage, and explicit evidence traceability, the skill ensures that feasibility studies remain durable, auditable, and ready for downstream consumption by product planning processes. It includes validation scripts to ensure structural and semantic integrity, as well as a mechanism to generate a handoff artifact for PRD authoring.
What it does
- Defines a structured format for feasibility studies using Markdown and constrained YAML.
- Enforces identity management using UUID URNs for concepts, revisions, and relations.
- Supports lifecycle tracking, including lineage for splits, merges, and supersessions.
- Provides validation tools to check structural integrity and semantic closure.
- Generates a formal handoff artifact for transitioning findings into PRD authoring.
- Maintains clear separation between machine-readable facts and narrative evidence.
When to use it
- When assessing whether technical evidence and data support a proposed project outcome.
- When you need to maintain a durable, auditable record of feasibility decisions.
- When preparing to hand off validated findings to a product requirements process.
- When you need to track the lineage and provenance of feasibility evidence over time.
Advantages
- Ensures consistency and machine-readability across all feasibility studies.
- Provides clear traceability from evidence to conclusions.
- Prevents ambiguity by requiring explicit status and criteria definitions.
- Facilitates reliable downstream integration with product planning workflows.
- Maintains a clear audit trail for decisions and revisions.
Usage examples
- “Initialize a new feasibility study for the proposed data ingestion pipeline.”
- The agent creates a new Markdown file using the feasibility template, ready for the user to define the study scope and allocate initial UUIDs.
- “Validate the current feasibility study and generate the PRD handoff.”
- The agent runs the validation script to check the YAML block and lineage, then generates the required handoff file if the study is in a Recommend state.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/microsoft/feasibility/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip feasibility.zip -d .agents/skills
Documentation by Microsoft
Data and ML Feasibility Workflow
Goal
Produce one durable Markdown feasibility study that remains useful to people and can be consumed later by a Functional Planner. One constrained YAML block owns machine facts; narrative sections preserve evidence, interpretation, and context.
Flow
Confirm the proposed outcome, decision boundary, study scope, and durable output path.
Allocate UUIDv4 URNs for the study concept, study revision, each item concept, each item revision, and each relation. Never derive identity from a title, class, path, or content.
Capture candidate capabilities, constraints, assumptions, findings, risks, dependencies, decisions, evidence, gaps, and non-goals. Preserve uncertainty and source-authored criteria without promoting every item to a requirement.
Record lifecycle and provenance. Reclassification keeps conceptual identity and creates a new revision. Split, merge, derivation, withdrawal, and supersession retain explicit lineage.
Write or update the single named
FEASIBILITY-STUDY-INTERCHANGEYAML block. Narrative can explain machine facts but cannot redefine them.Validate constrained YAML, JSON Schema 2020-12 structure, semantic closure, revision lineage, tombstones, and narrative anchors with
scripts/validate_feasibility.py.Present the recommendation and unresolved review gaps. Preserve the study as read-only evidence for downstream consumers.
After the study is final, emit the sibling feasibility-to-PRD handoff described in feasibility-to-prd-handoff.md. Regenerate it after any material study revision, then validate both artifacts with
scripts/validate_feasibility.py <study.md> --handoff <handoff.yml>.
Inputs
Problem definition, desired outcome, and decision the study must support
Data access, discovery, architecture, exploration, preprocessing, and experiment evidence
Source-authored acceptance criteria, when known
Risk, privacy, Responsible AI, performance, and operational evidence
Prior study revision and item identity registry, when revising an existing study
Success criteria
Exactly one named constrained YAML block declares
profile: feasibility-study-interchangeandprofile_version: 1.0.0.Study, item, relation, and revision IDs are RFC 9562 UUID URNs. Conceptual and revision IDs are unique and never reused.
Item class, status, alias, planning relevance, relations, provenance, confidence, review, and location remain separate fields.
Revision lineage is closed and acyclic. Current revisions appear in the revision registry.
Withdrawn and superseded items remain as complete tombstones. Split, merge, supersession, and derivation targets resolve.
Every item has one matching narrative anchor, and narrative has no unknown item anchor.
Missing criteria remain explicit. The workflow does not invent acceptance criteria.
Each confirmed Recommend exit produces a handoff carrying the verdict, evidence, constraints, gaps, and the
study_revision_idit was generated from.
Constraints
The study does not assign
FR-###orNFR-###.display_refuses the study-local, type-neutralFS-###alias only.The study's constrained YAML block remains the authority for every machine fact. The handoff is a derived summary that never redefines a study fact; a disagreement resolves in favor of the study.
The handoff carries no version constant and no content hash. Recognition uses
kind, and freshness is judged fromstudy_revision_id.Downstream Functional Planner adoption is a separate workstream. This package does not claim current direct compatibility with Functional Planner.
Downstream consumers remain read-only toward the study. They own their UUID-to-requirement mapping and traceability views.
Do not claim SpecIF, OSLC RM, ReqIF, PROV, DCMI, or JSON-LD conformance. The profile maps selected concepts without implementing those complete standards.
Keep YAML JSON-compatible: string keys, JSON scalar values, arrays, and objects only. Do not use aliases, anchors, merge keys, custom tags, timestamps as native YAML objects, or ordering-dependent meaning.
Stop rules
Stop at a hard decision boundary when the problem or desired outcome remains ambiguous.
Stop and record
needs_reviewwhen criteria, evidence, lifecycle disposition, or relation meaning cannot be established from sources.Stop before changing a conceptual ID because a title, class, status, alias, or location changed. Create a new revision instead.
Stop before deleting a withdrawn or superseded concept. Retain a tombstone with reason, effective time, last revision, and explicit successor state.
Stop before any downstream writeback to the study. Record mappings in downstream-owned artifacts.
Package resources
| Resource | Use |
|---|---|
| interchange-profile.md | Read for authority, constrained YAML, identity, lifecycle, compatibility, and producer rules |
| standards-crosswalk.md | Read for SpecIF, OSLC RM, PROV, and DCMI mappings and non-conformance boundaries |
| provenance.md | Read for source licensing, attribution, and profile independence |
| feasibility-to-prd-handoff.md | Read for the sibling handoff's emission trigger, field set, verdict presence rules, and regeneration obligation |
| feasibility-study.md | Copy when starting a study |
| valid-study.md | Read as a valid profile fixture with revision, evidence, and dependency relations |
assets/feasibility-study-interchange-1.0.0.schema.json | Use as the local structural JSON Schema 2020-12 profile |
assets/feasibility-to-prd-handoff.schema.json | Use through the validator for handoff shape, verdict presence rules, and vocabulary |
scripts/validate_feasibility.py | Execute with uv run python scripts/validate_feasibility.py <study.md> [--handoff <handoff.yml>] before publishing a revision or handoff |
Attribution
The Feasibility Study Interchange Profile, schema, template, examples, and validator are independently authored repository content licensed CC BY 4.0.
Selected concepts are mapped to open specifications for interoperability vocabulary only. No upstream schema, example, or substantial prose is reproduced. See provenance.md.
Files
- ATTRIBUTION.mdAdded by AutoGineer973 B
- LICENSEAdded by AutoGineer16.6 KiB
- SKILL.md8.2 KiB
- assets/feasibility-study-interchange-1.0.0.schema.json5.9 KiB
- assets/feasibility-to-prd-handoff.schema.json3.4 KiB
- examples/invalid-fixtures.md1.6 KiB
- examples/valid-study.md5.3 KiB
- pyproject.toml701 B
- references/feasibility-to-prd-handoff.md9.9 KiB
- references/interchange-profile.md7.3 KiB
- references/provenance.md2.9 KiB
- references/standards-crosswalk.md3.9 KiB
- scripts/validate_feasibility.pyScript25.1 KiB
- templates/feasibility-study.md2.6 KiB
- tests/corpus/0_valid_profile130 B
- tests/corpus/1_anchor_alias143 B
- tests/corpus/2_duplicate_key129 B
- tests/corpus/3_unterminated_block66 B
- tests/corpus/4_no_block26 B
- tests/corpus/README.md1.3 KiB
- tests/fuzz_harness.pyScript1.2 KiB
- tests/test_validate_feasibility.pyScript24.5 KiB
- uv.lock107.7 KiB
tests/test_validate_feasibility.py
# Copyright (c) 2026 Microsoft Corporation. All rights reserved.
# SPDX-License-Identifier: MIT
"""Tests for the Feasibility Study Interchange Profile validator."""
from __future__ import annotations
import copy
import time
import uuid
from pathlib import Path
import pytest
import validate_feasibility as validate_feasibility_module
import yaml
from jsonschema import Draft202012Validator, FormatChecker
from validate_feasibility import (
BEGIN_MARKER,
END_MARKER,
NARRATIVE_ANCHOR_PATTERN,
FeasibilityValidationError,
_assert_json_compatible,
_is_rfc3339_date_time,
_reject_tagged_node,
_sanitize_yaml_error,
build_format_checker,
create_parser,
extract_profile_yaml,
load_handoff_schema,
load_schema,
main,
narrative_text,
parse_handoff,
parse_profile,
read_handoff_text,
read_study_text,
requirement_allocation_errors,
run,
validate_handoff,
validate_profile,
)
SKILL_ROOT = Path(__file__).resolve().parent.parent
VALID_PATH = SKILL_ROOT / "examples" / "valid-study.md"
def _valid() -> tuple[dict, str]:
markdown = VALID_PATH.read_text(encoding="utf-8")
return parse_profile(markdown), markdown
def _block(body: str) -> str:
"""Wrap a YAML body in the one named interchange block."""
return f"{BEGIN_MARKER}\n```yaml\n{body}```\n{END_MARKER}\n"
def _valid_handoff(verdict: str = "proceed") -> dict:
"""Build a valid handoff linked to the bundled study."""
data, _ = _valid()
handoff = {
"kind": "feasibility-to-prd-handoff",
"handoff_id": f"urn:uuid:{uuid.UUID('40000000-0000-4000-8000-000000000001')}",
"generated_at": "2026-09-14T12:00:00Z",
"study_path": data["study"]["location"],
"study_revision_id": data["study"]["study_revision_id"],
"verdict": verdict,
"recommendation": "Proceed with the bounded synthetic pilot.",
"evidence_sections": ["Recommendation", "Evidence and analysis"],
"constraints": [
{
"category": "technical",
"statement": "Use only the retained synthetic evidence window.",
}
],
"gaps": ["The ranking threshold remains unconfirmed."],
}
if verdict in {"proceed", "proceed-with-scope-reduction"}:
handoff["functional_candidates"] = [
{
"candidate_id": "FC-01",
"study_item_id": data["items"][1]["item_id"],
"statement": "Rank synthetic recommendation candidates.",
"evidence_refs": ["FS-001"],
"concern_hint": "none",
}
]
handoff["nfr_candidates"] = []
return handoff
def test_given_valid_study_when_validated_then_has_no_errors() -> None:
# Arrange
data, markdown = _valid()
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert errors == []
def test_given_unsupported_version_when_validated_then_fails() -> None:
# Arrange
data, markdown = _valid()
data["profile_version"] = "2.0.0"
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert errors
def test_given_duplicate_concept_id_when_validated_then_fails() -> None:
# Arrange
data, markdown = _valid()
duplicate = copy.deepcopy(data["items"][1])
duplicate["display_ref"] = "FS-003"
duplicate["narrative_anchor"] = "fs-003"
data["items"].append(duplicate)
markdown += "\n### FS-003: Duplicate concept\n"
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert any("conceptual IDs must be unique" in error for error in errors)
def test_given_malformed_uuid_when_validated_then_fails() -> None:
# Arrange
data, markdown = _valid()
data["items"][0]["item_id"] = "not-a-uuid"
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert errors
def test_given_broken_relation_when_validated_then_fails() -> None:
# Arrange
data, markdown = _valid()
data["items"][1]["relations"][0]["target"] = (
"urn:uuid:99999999-0000-4000-8000-000000000001"
)
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert any("unknown target" in error for error in errors)
def test_given_cyclic_revision_when_validated_then_fails() -> None:
# Arrange
data, markdown = _valid()
registry = data["revision_registry"]
registry[0]["revision_of"] = registry[1]["revision_id"]
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert any("cyclic" in error for error in errors)
def test_given_incomplete_tombstone_when_validated_then_fails() -> None:
# Arrange
data, markdown = _valid()
item = data["items"][1]
item["status"] = "superseded"
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert any("incomplete superseded tombstone" in error for error in errors)
def test_given_prohibited_yaml_when_parsed_then_raises() -> None:
# Arrange
markdown = _block("profile: &p feasibility-study-interchange\ncopy: *p\n")
# Act and assert
with pytest.raises(FeasibilityValidationError, match="not permitted"):
parse_profile(markdown)
@pytest.mark.parametrize(
("body", "message"),
[
("copy: *undefined\n", "aliases are not permitted"),
("base: &anchor value\n", "anchors are not permitted"),
("value: !custom scalar\n", "explicit tags are not permitted"),
("merged:\n <<: {a: 1}\n", "merge keys are not permitted"),
("profile: one\nprofile: two\n", "duplicate YAML key"),
("1: numeric-key\n", "keys must be strings"),
],
ids=["alias", "anchor", "tag", "merge-key", "duplicate-key", "non-string-key"],
)
def test_given_unsafe_yaml_construct_when_parsed_then_raises(
body: str, message: str
) -> None:
# Act and assert
with pytest.raises(FeasibilityValidationError, match=message):
parse_profile(_block(body))
def test_given_unquoted_date_when_parsed_then_raises() -> None:
# Act and assert
with pytest.raises(FeasibilityValidationError, match="must be a quoted string"):
parse_profile(_block("created_at: 2026-01-01\n"))
def test_given_quoted_timestamp_when_parsed_then_value_is_a_string() -> None:
# Act
parsed = parse_profile(_block('created_at: "2026-01-01T00:00:00Z"\n'))
# Assert
assert parsed["created_at"] == "2026-01-01T00:00:00Z"
@pytest.mark.parametrize("literal", [".nan", ".inf", "-.inf"])
def test_given_non_finite_number_when_parsed_then_raises(literal: str) -> None:
# Act and assert
with pytest.raises(FeasibilityValidationError, match="must be a finite number"):
parse_profile(_block(f"threshold: {literal}\n"))
def test_given_finite_number_when_parsed_then_value_survives() -> None:
# Act
parsed = parse_profile(_block("threshold: 1.5\n"))
# Assert
assert parsed["threshold"] == 1.5
def test_given_quoted_markdown_prose_when_parsed_then_value_survives() -> None:
# Arrange
prose = "Cites FR-123, uses **bold**, `code`, and the 2026-01-01 baseline"
# Act
parsed = parse_profile(_block(f'title: "{prose}"\n'))
# Assert
assert parsed["title"] == prose
def test_given_orphaned_item_when_validated_then_fails() -> None:
# Arrange
data, markdown = _valid()
markdown = markdown.replace(
"### FS-002: Rank recommendation candidates",
"### Candidate narrative without an alias",
)
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert any("orphaned YAML items" in error for error in errors)
def test_given_prose_requirement_citation_when_validated_then_has_no_errors() -> None:
# Arrange
data, markdown = _valid()
markdown += "\nThis study informs the upstream requirement FR-123.\n"
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert errors == []
def test_given_requirement_heading_when_validated_then_fails() -> None:
# Arrange
data, markdown = _valid()
markdown += "\n### FR-123: Allocated downstream requirement\n"
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert any("narrative heading cannot allocate" in error for error in errors)
@pytest.mark.parametrize("display_ref", ["FR-123", "NFR-4567"])
def test_given_requirement_display_ref_when_checked_then_reports_error(
display_ref: str,
) -> None:
# Arrange
items = [{"display_ref": display_ref}]
# Act
errors = requirement_allocation_errors(items, "")
# Assert
assert errors == [
f"{display_ref} cannot allocate an FR or NFR identifier as its own display_ref"
]
def test_given_feasibility_display_ref_when_checked_then_has_no_errors() -> None:
# Act
errors = requirement_allocation_errors([{"display_ref": "FS-001"}], "")
# Assert
assert errors == []
def test_given_multiple_blocks_when_extracted_then_raises() -> None:
# Arrange
block = (
f"{BEGIN_MARKER}\n```yaml\nprofile: feasibility-study-interchange\n"
f"```\n{END_MARKER}\n"
)
# Act and assert
with pytest.raises(FeasibilityValidationError, match="exactly one"):
extract_profile_yaml(block + block)
def test_given_valid_file_when_run_then_returns_success(capsys) -> None:
# Act
result = run(VALID_PATH)
# Assert
assert result == 0
assert '"valid": true' in capsys.readouterr().out
def test_given_missing_file_when_run_then_reports_operational_error(
tmp_path, capsys
) -> None:
# Act
result = run(tmp_path / "missing.md", allowed_roots=(tmp_path,))
# Assert
captured = capsys.readouterr()
assert result == 2
assert captured.out == ""
assert "validate_feasibility:" in captured.err
def test_given_schema_violation_when_run_then_reports_validation_failure(
tmp_path, capsys
) -> None:
# Arrange
path = tmp_path / "study.md"
path.write_text(
_block("profile: feasibility-study-interchange\n"), encoding="utf-8"
)
# Act
result = run(path, allowed_roots=(tmp_path,))
# Assert
captured = capsys.readouterr()
assert result == 1
assert '"valid": false' in captured.out
assert captured.err == ""
@pytest.mark.parametrize("candidate", ["../evil.md", "..\\evil.md", "a/../../evil.md"])
def test_given_traversal_path_when_read_then_raises(candidate: str) -> None:
# Act and assert
with pytest.raises(FeasibilityValidationError, match=r"'\.\.' segments"):
read_study_text(Path(candidate))
def test_given_traversal_path_when_run_then_returns_operational_error(capsys) -> None:
# Act
result = run(Path("../evil.md"))
# Assert
assert result == 2
assert "'..' segments" in capsys.readouterr().err
def test_given_path_outside_root_when_read_then_raises(tmp_path) -> None:
# Arrange
inside = tmp_path / "inside"
inside.mkdir()
outside = tmp_path / "outside.md"
outside.write_text(_block("profile: x\n"), encoding="utf-8")
# Act and assert
with pytest.raises(FeasibilityValidationError, match="outside the permitted roots"):
read_study_text(outside, allowed_roots=(inside,))
def test_given_symlink_outside_root_when_read_then_raises(tmp_path) -> None:
# Arrange
inside = tmp_path / "inside"
inside.mkdir()
outside = tmp_path / "outside.md"
outside.write_text(_block("profile: x\n"), encoding="utf-8")
link = inside / "link.md"
try:
link.symlink_to(outside)
except (OSError, NotImplementedError):
pytest.skip("symlink creation is not permitted in this environment")
# Act and assert
with pytest.raises(FeasibilityValidationError, match="outside the permitted roots"):
read_study_text(link, allowed_roots=(inside,))
def test_given_oversized_file_when_read_then_raises(tmp_path, monkeypatch) -> None:
# Arrange
path = tmp_path / "study.md"
path.write_text(_block("profile: x\n"), encoding="utf-8")
monkeypatch.setattr(validate_feasibility_module, "MAX_INPUT_BYTES", 4)
# Act and assert
with pytest.raises(FeasibilityValidationError, match="byte input limit"):
read_study_text(path, allowed_roots=(tmp_path,))
def test_given_permitted_file_when_read_then_returns_text(tmp_path) -> None:
# Arrange
path = tmp_path / "study.md"
path.write_text(_block("profile: x\n"), encoding="utf-8")
# Act
text = read_study_text(path, allowed_roots=(tmp_path,))
# Assert
assert "profile: x" in text
def test_given_malformed_timestamp_when_validated_then_fails() -> None:
# Arrange
data, markdown = _valid()
data["study"]["created_at"] = "2026-13-45T99:99:99Z"
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert any("date-time" in error for error in errors)
def test_given_valid_timestamp_when_validated_then_has_no_errors() -> None:
# Arrange
data, markdown = _valid()
data["study"]["created_at"] = "2026-01-01T00:00:00+05:30"
# Act
errors = validate_profile(data, markdown, load_schema(SKILL_ROOT))
# Assert
assert errors == []
def test_given_unsupported_format_sentinel_then_checker_stays_restricted() -> None:
# Arrange
checker = build_format_checker()
schema = {
"type": "object",
"properties": {"contact": {"type": "string", "format": "email"}},
}
validator = Draft202012Validator(schema, format_checker=checker)
# Act
errors = list(validator.iter_errors({"contact": "not-an-email"}))
# Assert
assert errors == []
assert set(checker.checkers) == {"date-time"}
def test_given_parser_error_when_run_then_output_excludes_source(
tmp_path, capsys
) -> None:
# Arrange
path = tmp_path / "study.md"
path.write_text(
_block('profile: "unterminated\ncustomer_secret_value: 42\n'), encoding="utf-8"
)
# Act
result = run(path, allowed_roots=(tmp_path,))
# Assert
captured = capsys.readouterr()
assert result == 2
assert "invalid YAML" in captured.err
assert "customer_secret_value" not in captured.err
assert "unterminated" not in captured.err
def test_given_non_json_value_when_asserted_then_raises() -> None:
# Act and assert
with pytest.raises(FeasibilityValidationError, match="non-JSON YAML value"):
_assert_json_compatible({"field": {"a", "b"}})
def test_given_non_string_mapping_key_when_asserted_then_raises() -> None:
# Act and assert
with pytest.raises(FeasibilityValidationError, match="non-string key"):
_assert_json_compatible({1: "value"})
def test_given_tagged_node_when_constructed_then_raises() -> None:
# Act and assert
with pytest.raises(FeasibilityValidationError, match="explicit tags"):
_reject_tagged_node(None, "custom", yaml.ScalarNode("!custom", "value"))
def test_given_unmarked_yaml_error_when_sanitized_then_reports_type_only() -> None:
# Act
message = _sanitize_yaml_error(yaml.YAMLError("customer secret detail"))
# Assert
assert message == "invalid YAML (YAMLError)"
@pytest.mark.parametrize(
("value", "expected"),
[
("2026-01-01T00:00:00Z", True),
("2026-01-01T00:00:00.123+05:30", True),
("2026-13-45T99:99:99Z", False),
("2026-01-01", False),
(42, True),
],
ids=["utc", "offset", "out-of-range", "date-only", "non-string"],
)
def test_given_value_when_checked_against_rfc3339_then_matches_expectation(
value: object, expected: bool
) -> None:
# Act and assert
assert _is_rfc3339_date_time(value) is expected
def test_given_absent_registered_format_when_built_then_uses_local_checker(
monkeypatch,
) -> None:
# Arrange
monkeypatch.setattr(FormatChecker, "checkers", {})
# Act
checker = build_format_checker()
# Assert
assert set(checker.checkers) == {"date-time"}
assert checker.conforms("2026-01-01T00:00:00Z", "date-time")
assert not checker.conforms("2026-13-45T99:99:99Z", "date-time")
def test_given_cli_arguments_when_parsed_then_study_path_is_returned() -> None:
# Act
args = create_parser().parse_args(["study.md"])
# Assert
assert args.study == Path("study.md")
assert args.handoff is None
@pytest.mark.parametrize(
"verdict",
[
"proceed",
"proceed-with-scope-reduction",
"do-not-proceed",
"insufficient-evidence",
],
)
def test_given_supported_verdict_when_handoff_validated_then_has_no_errors(
verdict: str,
) -> None:
# Arrange
study, markdown = _valid()
handoff = _valid_handoff(verdict)
# Act
errors = validate_handoff(handoff, study, markdown, load_handoff_schema(SKILL_ROOT))
# Assert
assert errors == []
@pytest.mark.parametrize(
("array_name", "candidate_id", "valid"),
[
("functional_candidates", "FC-01", True),
("nfr_candidates", "NC-01", True),
("functional_candidates", "NC-01", False),
("nfr_candidates", "FC-01", False),
],
)
def test_given_candidate_prefix_when_validated_then_matches_owning_array(
array_name: str, candidate_id: str, valid: bool
) -> None:
# Arrange
study, markdown = _valid()
handoff = _valid_handoff()
candidate = handoff["functional_candidates"][0]
candidate["candidate_id"] = candidate_id
handoff["functional_candidates"] = []
handoff[array_name] = [candidate]
schema = load_handoff_schema(SKILL_ROOT)
# Act
schema_errors = list(Draft202012Validator(schema).iter_errors(handoff))
errors = validate_handoff(handoff, study, markdown, schema)
# Assert
assert (not schema_errors) is valid
assert (not errors) is valid
if not valid:
assert errors == [f"$.{array_name}[0].candidate_id violates pattern"]
def test_given_stale_handoff_when_validated_then_reports_revision_error() -> None:
# Arrange
study, markdown = _valid()
handoff = _valid_handoff()
handoff["study_revision_id"] = "urn:uuid:40000000-0000-4000-8000-000000000002"
# Act
errors = validate_handoff(handoff, study, markdown, load_handoff_schema(SKILL_ROOT))
# Assert
assert errors == ["handoff.study_revision_id is stale"]
@pytest.mark.parametrize(
("field", "value", "expected"),
[
(
"study_item_id",
"urn:uuid:40000000-0000-4000-8000-000000000003",
"unknown study_item_id",
),
("evidence_refs", ["FS-999"], "unknown evidence_refs alias"),
],
ids=["item-uuid", "evidence-alias"],
)
def test_given_unknown_candidate_reference_when_validated_then_reports_error(
field: str, value: object, expected: str
) -> None:
# Arrange
study, markdown = _valid()
handoff = _valid_handoff()
handoff["functional_candidates"][0][field] = value
# Act
errors = validate_handoff(handoff, study, markdown, load_handoff_schema(SKILL_ROOT))
# Assert
assert any(expected in error for error in errors)
@pytest.mark.parametrize(
("field", "value"),
[
("evidence_sections", ["Invented section"]),
("constraints", [{"category": "privacy", "statement": "Synthetic limit"}]),
],
ids=["evidence-section", "constraint-category"],
)
def test_given_invalid_handoff_vocabulary_when_validated_then_schema_fails(
field: str, value: object
) -> None:
# Arrange
study, markdown = _valid()
handoff = _valid_handoff()
handoff[field] = value
# Act
errors = validate_handoff(handoff, study, markdown, load_handoff_schema(SKILL_ROOT))
# Assert
assert errors
def test_given_negative_verdict_with_candidates_when_validated_then_schema_fails() -> (
None
):
# Arrange
study, markdown = _valid()
handoff = _valid_handoff("do-not-proceed")
handoff["functional_candidates"] = []
# Act
errors = validate_handoff(handoff, study, markdown, load_handoff_schema(SKILL_ROOT))
# Assert
assert errors
def test_given_mismatched_study_path_when_validated_then_reports_error() -> None:
# Arrange
study, markdown = _valid()
handoff = _valid_handoff()
handoff["study_path"] = "docs/data/other-study.md"
# Act
errors = validate_handoff(handoff, study, markdown, load_handoff_schema(SKILL_ROOT))
# Assert
assert errors == ["handoff.study_path does not match the authoritative study"]
def test_given_duplicate_candidate_ids_when_validated_then_reports_error() -> None:
# Arrange
study, markdown = _valid()
handoff = _valid_handoff()
handoff["functional_candidates"].append(
copy.deepcopy(handoff["functional_candidates"][0])
)
# Act
errors = validate_handoff(handoff, study, markdown, load_handoff_schema(SKILL_ROOT))
# Assert
assert errors == ["handoff candidate IDs must be unique"]
def test_given_valid_handoff_file_when_run_then_returns_success(
tmp_path, capsys
) -> None:
# Arrange
handoff_path = tmp_path / "handoff.yml"
handoff_path.write_text(yaml.safe_dump(_valid_handoff()), encoding="utf-8")
# Act
result = run(VALID_PATH, handoff_path, allowed_roots=(SKILL_ROOT, tmp_path))
# Assert
assert result == 0
assert '"valid": true' in capsys.readouterr().out
def test_given_missing_handoff_file_when_run_then_reports_operational_error(
tmp_path, capsys
) -> None:
# Act
result = run(
VALID_PATH,
tmp_path / "missing.yml",
allowed_roots=(SKILL_ROOT, tmp_path),
)
# Assert
captured = capsys.readouterr()
assert result == 2
assert captured.out == ""
assert "validate_feasibility:" in captured.err
def test_given_malformed_handoff_when_run_then_diagnostic_is_sanitized(
tmp_path, capsys
) -> None:
# Arrange
handoff_path = tmp_path / "handoff.yml"
handoff_path.write_text(
'kind: "unterminated\nsynthetic_secret: value\n', encoding="utf-8"
)
# Act
result = run(VALID_PATH, handoff_path, allowed_roots=(SKILL_ROOT, tmp_path))
# Assert
captured = capsys.readouterr()
assert result == 2
assert "synthetic_secret" not in captured.err
def test_given_handoff_yaml_when_parsed_then_returns_object() -> None:
# Act
parsed = parse_handoff(yaml.safe_dump(_valid_handoff()))
# Assert
assert parsed["kind"] == "feasibility-to-prd-handoff"
def test_given_oversized_handoff_when_read_then_raises(tmp_path, monkeypatch) -> None:
# Arrange
handoff_path = tmp_path / "handoff.yml"
handoff_path.write_text("kind: feasibility-to-prd-handoff\n", encoding="utf-8")
monkeypatch.setattr(validate_feasibility_module, "MAX_INPUT_BYTES", 4)
# Act and assert
with pytest.raises(FeasibilityValidationError, match="byte input limit"):
read_handoff_text(handoff_path, allowed_roots=(tmp_path,))
def test_given_cli_invocation_when_main_runs_then_validates_the_example(
monkeypatch, capsys
) -> None:
# Arrange
monkeypatch.setattr("sys.argv", ["validate_feasibility.py", str(VALID_PATH)])
# Act
result = main()
# Assert
assert result == 0
assert '"valid": true' in capsys.readouterr().out
def test_given_many_unterminated_begin_markers_when_extracted_then_fails_quickly() -> (
None
):
# Arrange
hostile = (f"{BEGIN_MARKER}\n```yaml\n" * 20000) + "never closed\n"
# Act
started = time.monotonic()
with pytest.raises(FeasibilityValidationError):
extract_profile_yaml(hostile)
elapsed = time.monotonic() - started
# Assert
assert elapsed < 5.0
def test_given_deeply_nested_yaml_when_parsed_then_raises_feasibility_error() -> None:
# Arrange
study = _block("deep: " + "[" * 5000 + "]" * 5000 + "\n")
# Act / Assert
with pytest.raises(FeasibilityValidationError):
parse_profile(study)
@pytest.mark.parametrize("timestamp", ["2026-02-31", "2026-13-01", "2026-01-32"])
def test_given_out_of_range_timestamp_when_parsed_then_raises_feasibility_error(
timestamp: str,
) -> None:
# Arrange
study = _block(f"timestamp: {timestamp}\n")
# Act / Assert
with pytest.raises(FeasibilityValidationError, match="invalid scalar value"):
parse_profile(study)
def test_given_requirement_heading_in_fence_when_checked_then_not_allocated() -> None:
# Arrange
markdown = "```text\n### FR-101: fenced sample\n```\n"
# Act
errors = requirement_allocation_errors([], markdown)
# Assert
assert errors == []
def test_given_anchor_inside_fence_when_narrative_read_then_anchor_is_ignored() -> None:
# Arrange
markdown = "```text\n### FS-001: fenced anchor\n```\n### FS-002: real anchor\n"
# Act
anchors = NARRATIVE_ANCHOR_PATTERN.findall(narrative_text(markdown))
# Assert
assert anchors == ["FS-002"]
Requirements and compatibility
Written for: GitHub Copilot, Claude Code
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Claude Code frontmatter, Needs Python
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Attribution and licence
- Published by
- Microsoft
- Publisher
- Microsoft (Official)
- Source
- microsoft/hve-core · .github/skills/data-science-engineering/feasibility · commit f425e94
- Licence
- Creative Commons Attribution 4.0 International (redistribution allowed)
- LICENSE (written by AutoGineer)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download feasibility.zip