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Vally Tests

MicrosoftOfficialPublished by Microsoft

  • Skill
  • Workflow
  • Agent tooling
  • MIT
  • Low risk
  • Has scripts

From the author

Authors Vally conformance tests for prompts, instructions, agents, and skills, and refuses jailbreak, prompt-injection, harmful-elicitation, TOS, CoC, and PII-extraction stimuli
— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The vally-tests skill provides a structured workflow for authoring conformance tests for various AI artifacts, including prompts, instructions, agents, and skills. It operates by mapping artifact behaviors to specific Vally grader types, ensuring that tests are both relevant and robust. The skill includes a safety refusal taxonomy to prevent the generation of adversarial or harmful stimuli, and it supports both individual artifact processing and batch processing via corpus imports.

What it does

  • Authors conformance test stimuli for prompts, instructions, agents, and skills.
  • Routes test stimuli to appropriate Vally evaluation files based on artifact kind.
  • Enforces a safety refusal taxonomy to block adversarial or policy-violating content.
  • Performs deduplication of stimuli using SHA-256 hashing of normalized prompt text.
  • Supports batch processing of test stimuli via CSV or XLSX corpus imports.
  • Generates JSON run reports detailing the outcome of the authoring process.

When to use it

  • When you need to create conformance tests for a new prompt, instruction, agent, or skill.
  • When you have a batch of behaviors that require standardized formatting and deduplication.
  • When you need to ensure that authored test stimuli comply with predefined safety and refusal policies.
  • When you are working within a Vally-based evaluation environment.

Advantages

  • Automates the creation of consistent and structured test stimuli.
  • Prevents the accidental inclusion of harmful or prohibited content through a built-in safety taxonomy.
  • Ensures test uniqueness through automated deduplication.
  • Provides clear routing to the correct evaluation suites for different artifact types.

Usage examples

“vally-tests mode=from-artifact files=my-agent.agent.md”
The skill analyzes my-agent.agent.md, selects appropriate conformance checks, and appends the generated stimuli to the corresponding Vally eval file.
“vally-tests mode=corpus-import path=tests.csv”
The skill processes each row in the provided CSV, generates the corresponding stimulus blocks, and appends them to the routed eval file after deduplication.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/microsoft/vally-tests/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip vally-tests.zip -d .agents/skills

Documentation by Microsoft

<!-- cspell:ignore roleplay doxxing scaffolder -->

Vally Tests Skill

Purpose

This skill authors Vally conformance tests for the four supported artifact kinds in this repository: prompts, instructions, agents, and skills. Each test exercises a documented behavior the artifact already claims and routes the result through an appropriate Vally grader so failures are explainable. Test authoring is bounded by a refusal taxonomy that keeps the skill out of adversarial, harmful, or policy-evasion territory.

Follow the shared content-policy public-output guard for eval stimuli and any public summaries derived from this skill. Vally tests are not a venue for terms-of-service boundary mapping, payload generation, refusal-text scoring, hidden-instruction disclosure, PII extraction, or secret extraction.

The skill ships:

  • A canonical authoring workflow that runs directly through /vally-tests or through the Vally Test Author subagent.

  • Per-kind reference files that enumerate every conformance check the skill knows how to express.

  • A grader catalog that maps Vally CLI grader types to the checks they fit, and robustness rules that keep an emitted grader from asserting the impossible or failing correct behavior.

  • A safety refusal taxonomy with regex patterns the safety lint script consumes.

  • Helper scripts and asset templates for stimulus emission, corpus import, and dedupe.

When to Invoke

Invoke this skill in one of two modes:

  • From-artifact mode. The caller points at one or more artifact files (a .prompt.md, .instructions.md, .agent.md, or SKILL.md) through files, or at the open or attached file when files is omitted, and asks for conformance test stimuli that verify each artifact's stated behaviors. The skill detects the artifact kind from the filename unless kind overrides it, looks up the matching per-kind reference, picks graders, and appends stimulus blocks to the routed Vally eval file.

  • Corpus-import mode. The caller supplies a CSV or XLSX corpus through path that follows the shipped template, and the skill turns each row into a stimulus block in the routed eval file. Before reading, confirm that path exists and ends in .csv or .xlsx; otherwise name the bad path and stop. Every imported row carries tags.advisory: true, and corpus content cannot override it. Used when a large batch of behaviors needs identical formatting and dedupe handling.

After either mode, report the target eval file, stimuli appended, duplicates skipped, refusals triggered, and the JSON run report path.

Do not invoke this skill to:

  • Generate adversarial probes, jailbreak attempts, prompt-injection payloads, or red-team stimuli.

  • Test refusal quality on harmful, illegal, or policy-violating prompts.

  • Author stimuli that elicit PII, secrets, hidden instructions, or model self-disclosure.

  • Store payload examples, paraphrased prohibited requests, or quoted flagged content in Vally eval specs, corpus rows, PR summaries, issue bodies, or comments.

  • Replace Responsible AI threat modeling. RAI work lives in the RAI Planner agent.

Authoring Workflow

Each invocation follows the same six-step pipeline:

  1. Artifact-kind detection. Resolve the kind from the artifact path or the corpus row's kind column. Supported kinds: prompt, instructions, agent, skill. Reject unknown kinds with a refusal block.

  2. Reference lookup. Load the matching reference file from references/ and select the check or checks the stimulus exercises. Stage the artifact under test in the stimulus's agent_environment so the agent can read what the prompt names.

  3. Grader selection. Use references/grader-catalog.md as the authoritative selection surface. Pick the registered Vally grader family that directly observes the expected behavior and follow its stimulus-shape guidance.

  4. Robustness check. Apply references/grader-robustness.md. Confirm the stimulus stages every file whose wording the grader asserts, that the pattern constrains order and proximity only where those are the behavior under test, that a compliant agent phrasing the behavior differently still passes, and that no positive grader passes on the prompt text alone. Verify the pattern offline against answers that must pass and answers that must still fail before appending.

  5. Safety self-check. Run a safety self-check against the refusal taxonomy regex set. Refusing here is the correct outcome for any stimulus that matches a refusal category.

  6. Dedupe and append. Compute a SHA-256 hash of the normalized prompt text, compare against existing stimuli in the target eval file, and append only when novel.

The pipeline is identical for both invocation modes. Corpus-import mode runs steps 2 through 6 once per row.

Safety Refusal Taxonomy

Authoring is bounded by seven refusal categories. Any stimulus that matches a category's regex set is refused before it reaches the dedupe step. The categories and their normative source are listed below. The full regex set lives in references/refusal-taxonomy.md and is consumed by the safety lint script.

CategoryDefinitionNormative Source
jailbreakAttempts to bypass model safety policies through persona switching, hypothetical framing, or roleplay coercion.Project Code of Conduct
prompt-injectionAttempts to override system or developer instructions through embedded or external content.Project Code of Conduct
harmful-elicitationRequests for content that causes physical, financial, psychological, or reputational harm.Project Code of Conduct
tos-violationStimuli that solicit content prohibited by GitHub, Microsoft, or model-provider terms of service.Project Code of Conduct
coc-violationStimuli that violate this repository's Code of Conduct, including harassment, discrimination, or doxxing.Project Code of Conduct
model-refusal-elicitationAttempts to provoke a model refusal so the refusal text itself can be scored, graded, or used to map provider boundaries.RAI Planner guidance
pii-extractionAttempts to elicit personally identifiable information, secrets, credentials, or proprietary training data.RAI Planner guidance

When a request triggers a refusal, emit the canonical refusal block:

This skill authors conformance tests only. The request appears to fall under <category>. Please consult <Project Code of Conduct | RAI Planner agent> for the appropriate process.

Substitute the matched <category> and the most relevant normative source. Do not negotiate, rephrase, or partially fulfill the request.

Helper Script Index

Helper scripts ship as parity pairs (.ps1 and .sh) where the workflow does not require Python. The safety lint is the exception: it ships only as Lint-VallyTestSafety.ps1, which import_corpus.py invokes, so a single regex engine evaluates the refusal taxonomy. Python is used only for the corpus-import path because the source-of-truth interchange format is CSV with an XLSX mirror.

ScriptPurposeLanguageDelivery
scripts/New-Stimulus.ps1Scaffolds a single stimulus YAML block from an artifact path and appends to the routed eval file.PowerShell 7+Phase 2
scripts/new-stimulus.shParity counterpart for the PowerShell stimulus scaffolder.bashPhase 2
scripts/import_corpus.pyReads the CSV or XLSX corpus template and emits dedupe-checked stimulus blocks per kind.Python 3.11+Phase 2
scripts/Lint-VallyTestSafety.ps1Runs the refusal taxonomy regex set against a candidate stimulus and exits non-zero on match.PowerShell 7+Phase 3

All helpers honour a shared dedupe contract: SHA-256 of the prompt text after Unicode NFC normalization and whitespace collapse.

The helpers emit a JSON run report to logs/vally-test-author-<timestamp>.json, where <timestamp> is YYYYMMDD-HHMMSS (UTC). The report captures, at minimum: mode; inputs (the resolved files/path and kind); target_eval_file; stimuli_appended (count and per-row hash); dedupe_results (count and per-row hash for skipped duplicates); refusal_check (per-row category match, if any); safety_lint_exit_code; blockers (any ambiguous safety-lint outcomes surfaced for review); and written_paths.

Reference Index

References capture the conformance taxonomy, grader selection rules, eval-suite routing, and the regex source of truth for the refusal taxonomy. Each file targets a specific decision point in the authoring workflow.

ReferenceCovers
prompts.mdThe 12 conformance checks emitted for .prompt.md artifacts.
instructions.mdThe 8 conformance checks emitted for .instructions.md artifacts.
agents.mdThe 9 conformance checks emitted for .agent.md artifacts.
skills.mdThe 9 conformance checks emitted for SKILL.md artifacts.
grader-catalog.mdVally CLI grader types, selection rules, and gotchas.
grader-robustness.mdMounting, order and proximity limits, negation guards, prompt-echo checks, and the pre-commit probe.
refusal-taxonomy.mdRegex source of truth for the 7 refusal categories and worked examples.
eval-suite-routing.mdMaps artifact kind to the canonical Vally eval file under evals/.

Asset Index

Assets supply the interchange formats the corpus-import path consumes. The CSV is the source of truth. The XLSX mirror is regenerated from the CSV by import_corpus.py and is never edited directly.

AssetPurpose
assets/corpus-import-template.csvCanonical CSV template with header prompt,kind,target_artifact,grader,tags,expected_refusal_category,notes.
assets/corpus-import-template.xlsxExcel mirror of the CSV regenerated by the import script.

Output Targets per Kind

Authored stimuli always land in one of the routed Vally eval files. The router is encoded in references/eval-suite-routing.md and mirrored here for quick lookup.

KindTarget Eval FileVally Suite Name
promptevals/behavior-conformance/prompts.eval.yamlbehavior-conformance
instructionsevals/behavior-conformance/instructions.eval.yamlbehavior-conformance
agentevals/agent-behavior/eval.yamlagent-behavior
skillevals/behavior-conformance/skill-behavior.eval.yamlbehavior-conformance

The prompt target is created on first use when a repository has no prompt stimuli yet.

Never write to evals/baseline-equivalence/, evals/script-validation/, or evals/results/ from this skill. Those targets serve baseline equivalence, script validation, and historical comparison flows that are out of scope for conformance authoring.

Contributing

Follow these conventions when extending this skill:

  • New per-kind checks belong in the matching references/{kind}.md file. Bump the check count in this SKILL.md when the reference adds or removes checks.

  • New grader types belong in references/grader-catalog.md and only after the matching Vally CLI version is pinned in package.json devDependencies.

  • New refusal categories require updates to references/refusal-taxonomy.md, the regex set the safety lint script consumes, the Safety Refusal Taxonomy table above, and the canonical refusal block.

  • Helper scripts must ship in parity pairs (.ps1 and .sh) unless the workflow has a hard Python dependency. The safety lint is the one exception and ships only as Lint-VallyTestSafety.ps1; do not add a bash mirror. Python helpers live under scripts/ and are configured by the skill's pyproject.toml.

Files

references/agents.md


title: Agents Conformance Checks description: Nine conformance checks the vally-tests skill emits for .agent.md artifacts (including consolidated subagent structural template), with contract citations, stimulus shapes, and Vally grader recommendations

<!-- markdownlint-disable-file -->

Agents Conformance Checks

Overview

This reference enumerates the nine conformance checks the vally-tests skill knows how to express for .agent.md artifacts, covering both top-level agents and subagents. The conformance taxonomy research carries an eleven-entry list; this reference consolidates the research's separate "Subagent H1 Heading Matches Name" and "Required Subagent Sections" entries into a single structural-template check and omits the retired source-attribution check, matching the count published in SKILL.md.

The canonical eval target for this kind, per eval-suite-routing.md, is evals/agent-behavior/stimuli/<slug>.yml where <slug> is the agent filename minus the .agent.md suffix (for example rpi-agent.agent.md routes to evals/agent-behavior/stimuli/rpi-agent.yml). New stimulus blocks are appended to that file's stimuli: array (creating the file from the standard preamble if it does not exist) and tagged tags.advisory: true. Authors MUST run every candidate stimulus through refusal-taxonomy.md before emission and refuse any match.

Grader recommendations below name the literal Vally type: keywords, output-matches and prompt. grader-catalog.md maps the conceptual aliases used elsewhere in this skill (regex, semantic_similarity) to those keywords.

Contract Summary

TopicSection in hve-builder.instructions.md
Frontmatter and metadataFrontmatter and Portability
Tool restrictionsFrontmatter and Portability
Handoff patternFrontmatter and Portability
Conversational vs autonomous protocolOutcome and Structure
Subagent patternDelegate Deliberately
Subagent structural templateDelegate Deliberately; Outcome and Structure
Subagent invocationFrontmatter and Portability
Phase and step heading conventionsOutcome and Structure; Writing

Stimulus Staging and Grading

Every check asks an agent to report what a specific .agent.md artifact declares. The agent-behavior suite does not stage .github/agents/ globally, so a stimulus that names an unstaged artifact cannot be answered and fails on every trial. Apply these rules to every check below:

  • Stage the artifact under test at the path the stimulus names, with a source path relative to the compiled suite file (evals/agent-behavior/eval.yaml for agents):

    agent_environment:
      files:
        - src: ../../.github/agents/<package>/<name>.agent.md
          dest: .github/agents/<package>/<name>.agent.md

    Stage any other file the question depends on, such as an instruction file or skill the target says it requires, so the agent does not halt on a missing dependency.

  • End the stimulus with: "If the file cannot be read, report the task as blocked without inventing its declarations." A blocked reply is then distinguishable from an invented one.

  • Grade the reply, not the file. Output graders read the agent's answer, so assert the reported value (a name, a flag value, heading words) rather than frontmatter syntax such as ^description:. Validate file-only properties, such as the description length limit, with frontmatter linting instead of a reply grader.

  • Accept the formats a correct answer uses: backticked values, sentences, and bulleted, numbered, or inline lists. Constrain order only when order is the behavior under test.

  • Guard every negated grader against truthful denial, and keep positive and negated checks in separate graders.

  • Before appending, probe each pattern offline against answers that must pass and answers that must fail.

grader-robustness.md owns the detailed mounting, order, proximity, and negation rules and the offline probe. The patterns below are starting shapes; substitute the target's actual values and re-probe them.

Conformance Checks

Check 1: Required Frontmatter Fields
  • Contract source: hve-builder.instructions.md, Frontmatter and Portability.

  • Testable behavior: agent frontmatter MUST include a non-empty description: field under 120 characters AND a name: field carrying the human-readable agent name (for example RPI Agent).

  • Suggested stimulus: stage the artifact and ask the agent to report the human-readable name declared in its frontmatter and to restate its declared description verbatim.

  • Grader recommendation: output-matches asserting the reported name, for example (?i)\bRPI Agent\b, plus a second output-matches asserting a distinctive clause of the declared description. Add a separate negated output-matches rejecting the filename slug reported as the name, guarded so a file-name mention does not fire, for example (?i)(?<!file\s?)\bname\s*(?:is|:)\s*.{0,3}rpi-agent\b(?!\.agent\.md).

  • Evidence: .github/agents/hve-core/rpi-agent.agent.md and .github/agents/hve-core/documentation.agent.md follow this pair.

Check 2: Conversational vs Autonomous Protocol Distinction
  • Contract source: hve-builder.instructions.md, Outcome and Structure.

  • Testable behavior: conversational agents MUST present their workflow as ## Required Phases (multi-turn, user-guided); autonomous agents MUST present their workflow as ## Required Steps (task execution, minimal user interaction). The protocol type chosen MUST match the agent's purpose as stated in its description.

  • Suggested stimulus: stage the artifact and ask whether it runs conversationally or autonomously and which section heading carries its protocol.

  • Grader recommendation: prompt with rubric "Does the agent's protocol type (Phases vs Steps) match the conversational vs autonomous purpose stated in its description?".

  • Evidence: .github/agents/project-planning/backlog-manager.agent.md uses Required Phases consistent with its conversational purpose.

Check 3: Subagent Dependencies Declared in Frontmatter
  • Contract source: hve-builder.instructions.md, Delegate Deliberately and Frontmatter and Portability.

  • Testable behavior: omit agents: when a parent may invoke any available subagent. Use an explicit array when the parent has a fixed allowlist, including agents: [] when it may invoke none. Fixed entries MUST use each subagent's human-readable name: rather than a filename or path. A wildcard string is non-conforming.

  • Suggested stimulus: stage the parent artifact and ask whether it has unrestricted, fixed, or empty subagent access and, for a fixed set, which human-readable names it declares.

  • Grader recommendation: prompt with rubric "Does the response distinguish omitted agents: as unrestricted access from explicit fixed arrays, accept [] as an empty fixed set, reject wildcard strings, and use human-readable names for fixed entries?" A single mandatory-list pattern cannot represent all valid modes.

  • Evidence: .github/agents/hve-core/documentation.agent.md omits agents:; .github/agents/project-planning/brd-builder.agent.md declares a fixed BRD Quality Reviewer array; .github/agents/security/subagents/cve-analyzer.agent.md declares agents: [].

Check 4: Subagent user-invocable Flag
  • Contract source: hve-builder.instructions.md, Frontmatter and Portability.

  • Testable behavior: files under .github/agents/**/subagents/ SHOULD set user-invocable: false in frontmatter to keep subagents out of the user-facing agent picker. Top-level agents omit the flag or set it to true.

  • Suggested stimulus: stage the artifact and ask for the value its frontmatter declares for user-invocable and how a user reaches it given that value.

  • Grader recommendation: for a subagent, output-matches associating the field with an affirmative value in the same sentence in either order, for example (?im)(?<![\s\S])(?![\s\S]*(?:\b(?:not|never|no|omits?|omitted|lacks?)\b|\b\w+n[\x27\u2019]t\b)[\s`*_~]+(?:(?!(?:true|because|since|as|so|given|hence|thus)\b)\w+[\s`*_~]+){0,2}(?:user-invocable[\s`*_~]*:[\s`*_~]*)?\bfalse\b)[\s\S]*?(?:^|[.!?](?=\s|$))(?=(?:[^.!?\n]|[.!?](?=\S))*(?:\buser-invocable\b(?:[^.!?\n]|[.!?](?=\S)){0,40}\bfalse\b|\bfalse\b(?:[^.!?\n]|[.!?](?=\S)){0,60}\buser-invocable\b))(?!(?:[^.!?\n]|[.!?](?=\S))*\bfalse\b[\s`*_~]*(?:is|are)\s+(?:absent|not\s+(?:set|declared|present))\b)(?:[^.!?\n]|[.!?](?=\S))*. Sentences end only at ., !, or ? followed by whitespace, so file names such as .agent.md stay inside their sentence. This accepts user-invocable: false, not true, "the user-invocable value is set to false", "false is the declared value for user-invocable", "the flag is not true and user-invocable: false", and "it is not selectable because user-invocable: false", while rejecting negated or absent values anywhere in the reply, such as "the value is not false", "the frontmatter does not declare user-invocable: false", "the frontmatter omits user-invocable: false", and "user-invocable: false is absent". Add an output-matches asserting that the reply names the dispatching parent or orchestrator, and a separate guarded negated output-matches rejecting a claim that the subagent is selectable from the agent picker. For a top-level agent, assert that the reply reports the flag as omitted or true.

  • Evidence: any subagent under .github/agents/**/subagents/ carrying user-invocable: false; top-level agents such as .github/agents/hve-core/rpi-agent.agent.md do not declare the flag.

Check 5: Subagent Structural Template
  • Contract source: hve-builder.instructions.md, Delegate Deliberately and Outcome and Structure (the canonical subagent section pattern: H1 matching the name, Purpose, Inputs, a named output artifact, Required Steps, an optional Required Protocol, and a Response Format).

  • Testable behavior: subagent files MUST present the following structure:

    • An H1 heading whose text matches the frontmatter name: field exactly.

    • A Purpose section that states the subagent's objectives.

    • An Inputs section that distinguishes required from optional inputs.

    • An Output artifact section that names the file or tracking artifact the subagent updates progressively.

    • A Required Steps section that opens with a Pre-requisite step and continues with numbered steps.

    • OPTIONAL Required Protocol section for meta-rules and execution constraints.

    • A Response Format section that defines the structured return to the parent.

  • Suggested stimulus: stage the artifact and ask for every level-one and level-two section heading in order, exactly as written, and whether its first heading matches the frontmatter name. "Top-level headings" alone is ambiguous: hosted replies sometimes list only the H1.

  • Grader recommendation: one output-matches per required section asserting the heading words in the reply, case-sensitive for single words so ordinary prose does not satisfy them: \bPurpose\b, \bInputs\b, (?i)Required\s+Steps, (?i)Response\s+Format. These accept numbered, bulleted, and inline lists. Add an output-matches asserting that the reply confirms the H1 matches the name.

  • Evidence: the delegated-task contract in hve-builder.instructions.md, Delegate Deliberately; .github/agents/coding-standards/subagents/code-review-functional.agent.md follows the subagent structure.

Check 6: Handoff Pattern Structure
  • Contract source: hve-builder.instructions.md, Frontmatter and Portability.

  • Testable behavior: when an agent declares handoffs:, each entry MUST include label: (display text, MAY contain emoji) and agent: (human-readable agent name from the target agent's name: field). Each entry MAY also carry a slash command and an auto-send flag, listed under Evidence.

  • Suggested stimulus: stage the artifact and ask which other agents it can hand off to and what label each handoff carries, identifying each target the way the artifact does.

  • Grader recommendation: output-matches asserting that each declared target and its label appear on the same line in either order, one grader per handoff entry, for example (?im)^.*\bBacklog Manager\b.*\bExecute Hierarchy\b|^.*\bExecute Hierarchy\b.*\bBacklog Manager\b. This accepts bulleted, tabular, and backticked lists and fails a reply that attaches a label to the wrong target on separate lines. Add a separate negated output-matches rejecting a target identified by file path, with a truthful-denial guard, for example (?i)(?<!(?:\b(?:not|never)|n[\x27\u2019]t)\s+(?:\w+\s+){0,2})\bagent\s*:\s*\W{0,3}[\w/-]*\.agent\.md.

  • Evidence: .github/agents/project-planning/ux-ui-designer.agent.md demonstrates label, agent, prompt (slash command), and send (auto-send) fields together.

Check 7: Tool Restrictions Format
  • Contract source: hve-builder.instructions.md, Frontmatter and Portability.

  • Testable behavior: when an agent declares tools:, the value MUST be a list of valid tool identifiers available in this VS Code context. When the tools: field is omitted, the agent inherits the default tool set.

  • Suggested stimulus: stage the artifact and ask whether its declared tools fit the role its description states, distinguishing the declared grants from what the host actually enforces.

  • Grader recommendation: prompt with a rubric that rewards reasoning from the artifact's own declared tools and description, rejects invented tools, and rejects claims that a tool grant enforces a boundary only the artifact's own policy provides. Keep the rubric's expected tool families out of the stimulus text so the reply is not taught the answer.

  • Evidence: a subagent under .github/agents/**/subagents/ such as .github/agents/hve-core/subagents/rpi-researcher.agent.md shows the tools: field shape.

Check 8: Subagent Invocation by Human-Readable Name
  • Contract source: hve-builder.instructions.md, Frontmatter and Portability.

  • Testable behavior: parent-agent invocation text MUST reference a subagent by the human-readable name: from the subagent's frontmatter (for example "Dispatch the BRD Quality Reviewer subagent"). Invocation by filename or by file path is non-conforming.

  • Suggested stimulus: stage the parent artifact and ask how it invokes one of its declared subagents.

  • Grader recommendation: output-matches asserting the subagent's human-readable name, for example (?i)\bBRD Quality Reviewer\b. Add a separate negated output-matches rejecting invocation by filename, guarded against truthful denial including contractions, for example (?i)(?<!(?:\b(?:not|never|without)|n[\x27\u2019]t)\s+(?:\w+\s+){0,3})\b(?:runs?|invokes?|invoked|calls?)\s+\S*\.agent\.md\b.

  • Evidence: .github/agents/project-planning/brd-builder.agent.md dispatches BRD Quality Reviewer by its human-readable name.

Check 9: Phase and Step Heading Consistency
  • Contract source: hve-builder.instructions.md, Outcome and Structure and Writing.

  • Testable behavior: phases MUST take the form ### Phase N: Short Summary and steps MUST take the form ### Step N: Short Summary, each with a descriptive summary after the colon.

  • Suggested stimulus: stage the artifact and ask for its phase or step headings in order, exactly as written.

  • Grader recommendation: output-matches asserting every expected heading summary in order with any intervening text, for example (?is)Phase\s+1:\s+Platform and Intent Classification[\s\S]*Phase\s+2:\s+Workflow Dispatch[\s\S]*Phase\s+3:\s+Summary and Handoff for the Evidence artifact below. Sequence is the behavior under test, so this is the one check where an ordered pattern is correct; it still accepts numbered, bulleted, and backticked lists.

  • Evidence: .github/agents/project-planning/backlog-manager.agent.md demonstrates the heading shape across phases.

Cross-References

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

The author says: Requires Vally CLI 0.15.0+, PowerShell 7+, bash, and Python 3.11+ with uv for corpus-import workflows

Security

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Attribution and licence

Published by
Microsoft
Publisher
Microsoft (Official)
Source
microsoft/hve-core · .github/skills/hve-core/vally-tests · commit f425e94
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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