Doca Bf3 Deployment
NVIDIAOfficialCreated by NVIDIA
- Skill
- Workflow
- Cloud and DevOps
- Apache-2.0
- Medium risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides the operational framework for BlueField-3 (BF3) day-1 platform bring-up. It guides users through the classic RShim/BFB installation path, covering the management of the host-to-DPU TMFIFO channel, DPU mode selection, and post-installation verification. It includes a six-state classifier to help diagnose and recover DPUs that fail to reach a ready state after a bundle push. The skill is designed for operators with physical access to BF3 hardware and requires integration with hardware safety policies for any destructive operations like firmware burns or mode changes.
What it does
- Guides the BFB installation process via the host-side RShim interface.
- Manages the host-to-DPU TMFIFO management channel configuration.
- Provides a six-state classifier for diagnosing DPU readiness issues.
- Verifies successful BFB installation and version compatibility.
- Assists with DPU mode selection between DPU/embedded-function and separated-host/NIC modes.
- Routes destructive hardware operations to the appropriate safety-governed workflows.
When to use it
- When performing initial platform bring-up for a physical BlueField-3 DPU.
- When a BFB installation appears to finish but the DPU fails to become ready.
- When troubleshooting connectivity issues between the host and the DPU over TMFIFO.
- When needing to verify the installed BFB version and overall system health.
- When determining if a DPU should be configured for DPU or separated-host mode.
Advantages
- Standardizes the bring-up procedure for BlueField-3 hardware.
- Reduces downtime by providing a structured diagnostic path for failed installs.
- Ensures safe operation by integrating with hardware safety policies for destructive tasks.
- Clarifies the distinction between host-side and Arm-side DOCA installations.
Usage examples
- “I have a BlueField-3 and a BFB image — how do I push it?”
- The agent provides the step-by-step sequence for using bfb-install from the host, ensuring the RShim daemon is active and the DPU is ready.
- “bfb-install exited 0 but the DPU never came back.”
- The agent initiates the six-state classifier to identify the current DPU state and suggests recovery steps instead of re-attempting the burn.
- “ping 192.168.100.2 works but ssh fails.”
- The agent guides the user through the TMFIFO management channel verification, including checking local-loopback routing and SSH service status.
- “Is DOCA on the host or the Arm side?”
- The agent clarifies the installation requirements for both the host and the BlueField-Arm side, helping the user identify where the software should be deployed.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/nvidia/doca-bf3-deployment/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip doca-bf3-deployment.zip -d .agents/skills
Documentation by NVIDIA
DOCA BlueField-3 (BF3) deployment
Examples
"I have a BlueField-3 and a BFB — how do I push it?" — RShim plus bfb-install from the host. Exit 0 is not success until the DPU is ready.
"bfb-install exited 0 but the DPU never came back." — start at the six-state classifier, not a second burn.
Instructions
Follow Loading order below. Open the tasks companion for BFB push and recover. Open the capabilities companion for the RShim/BFB contract and safety overlay. Do not open every companion file.
Where to start: This skill is the bundle's home for BlueField-3
day-1 platform bring-up — taking a BF3 from "powered card in the
slot" (or a card that just came back broken from a BFB push) to
"Arm OS healthy, TMFIFO up, host PFs bound, four-way version match
closed, ready to run a workload". It owns the classic RShim/BFB
path that BF3 uses today; the newer BMC-Redfish provisioning path
is the sibling skill
doca-bf4-deployment/SKILL.md (the BF4
equivalent). If the user has a BF3 and needs to push a BFB, recover
a DPU that did not come back, or verify the install, open
the tasks companion and start at
## configure. If the question is what shape
does the BF3 platform-bring-up surface even have, start at
the capabilities companion. Once the BF3 is healthy, this
skill routes onward to the deployment skills — running a binary
goes to
doca-bare-metal-deployment/SKILL.md;
deploying a service container goes to
doca-container-deployment/SKILL.md.
Every mutating burn invoked from a bring-up step — the BFB
reflash itself, any mlxconfig set (including a DPU/separated-host
mode flip), a firmware burn, or a kernel-boot-parameter change — is
governed by the change-application meta-policy in
doca-hardware-safety/SKILL.md, which
the agent loads ALONGSIDE this skill. This skill adds only the
BF3-specific operational sequencing on top; it does NOT redefine
the preflight / OOB-console / maintenance-window / rollback
discipline that meta-policy owns.
Audience
This skill serves external DOCA operators bringing up a real BlueField-3 — i.e. people who already have:
a physical BlueField-3 in a host (or a standalone BF3 they can reach over its console / management network),
host-side RShim access to the DPU (the RShim userspace daemon and the
/dev/rshim*character-device tree present over the PCIe or USB RShim interface), anda matching DOCA-Host install on the host plus a BlueField bundle (BFB) image downloaded from the public DOCA Downloads page.
It is not for:
BlueField-4 bring-up (the BMC-Redfish provisioning path) — route to
doca-bf4-deployment/SKILL.md, the BF4 equivalent of this skill,kernel-driver or BlueField-OS developers contributing to
mlx5_*or the BFB image itself (outside the scope of field deployment),operators who already have a healthy BF3 and just want to run a binary (route to
doca-bare-metal-deployment/SKILL.md) or deploy a service container (route todoca-container-deployment/SKILL.md),fresh-no-hardware users with no DOCA install — route to
doca-setup ## no-install.
The skill teaches the agent the BF3 bring-up procedure and the
rules for quoting documented commands from the public BlueField
Platform Software Manual, the public DOCA Installation Guide, and
the MFT manual via
doca-public-knowledge-map/SKILL.md;
it does not invent bfb-install flag sets, BFB image filenames,
RShim character-device paths, bf.cfg schema keys, mlxconfig
parameter names, or TMFIFO subnets from memory. Where a fact is
already vetted in
doca-bare-metal-deployment ## bluefield-lifecycle,
this skill reuses that exact fact rather than restating a new one.
When to load this skill
Load this skill when the user is doing hands-on BlueField-3 platform bring-up over the RShim/BFB path, or asking a cross-cutting BF3 lifecycle question that is not specific to one library's API. Concretely:
Pushing a BFB image to a BF3 for the first time (or re-pushing after a failed install), from the host over the RShim interface with
bfb-install.Bringing up or recovering the host-to-DPU TMFIFO management channel (
tmfifo_net0, the documented192.168.100.xconvention) and the RShim console.Confirming RShim driver/daemon state on the host (the userspace
rshimdaemon and the/dev/rshim*tree) before any push or console capture.Deciding (and routing) a DPU-mode change — DPU / embedded-function mode vs separated-host / NIC mode — knowing the actual
mlxconfig setburn leaves this skill fordoca-hardware-safety/SKILL.md.Recovering a BF3 that did not come back after a BFB push:
bfb-installexited 0 but the DPU never reached the documentedDPU is readymarker;ping 192.168.100.2works but SSH refuses; host PFs are present inlspci -d 15b3:but their netdevs are gone.Verifying a BF3 install —
cat /etc/mlnx-releaseon the Arm side, the four-way version match perdoca-version/SKILL.md— and distinguishing the host-side DOCA install from the BlueField-Arm-side DOCA install.Cross-cutting questions: "is DOCA on the host or on the Arm side, and which one do I install?", "my BF3 was fine last week and after a BFB push it never came back — where do I start?", "how do I tell which
/dev/rshim<N>is which BlueField on a multi-DPU host?".
Do not load this skill for: BlueField-4 bring-up (route to
doca-bf4-deployment/SKILL.md, the BF4
equivalent); running a DOCA-linked binary on a healthy BF3 (route to
doca-bare-metal-deployment/SKILL.md);
deploying a DOCA service container (route to
doca-container-deployment/SKILL.md);
env-preparation including hugepages, IOMMU, pkg-config, and devlink
mode flips (use doca-setup/SKILL.md); the body of
the version-match rule (use doca-version/SKILL.md);
or any hardware-state-changing burn itself — the change-application
discipline is meta-policy owned by
doca-hardware-safety/SKILL.md, loaded
ALONGSIDE this skill.
What this skill provides
This is a thin loader. Substantive material lives in two companion files:
the capabilities companion — the BF3 platform-bring-up contract: the RShim/BFB transport surface (the userspace RShim daemon, the
/dev/rshim*tree, console-over-rshim, the BFB image as the unit of input), the TMFIFO management-channel surface (tmfifo_net0/tm-br, the documented192.168.100.xconvention, theip route get-before-pingloopback gotcha), the DPU-mode surface (DPU / embedded-function vs separated-host / NIC mode, set viamlxconfigat BFB-install time — a MUTATING burn routed todoca-hardware-safety/SKILL.md), the host-side-vs-Arm-side DOCA install distinction, the BF3-version overlay on the four-way match owned bydoca-version/SKILL.md, the cross-cutting error taxonomy, the observability surface, and the safety policy (overlay ondoca-hardware-safety/SKILL.md).the tasks companion — step-by-step workflows for the in-scope BF3 lifecycle verbs:
configure,build(routing stub),modify,run(the BFB-install + RShim/TMFIFO bring-up sequence),test(the post-BFB readiness smoke),debug(the six-statebluefield-state-classifier), and theDeferred task verbsblock routing app-launch / container / install / library-API / hardware-state-change / BF4 questions out to their owning skills.
The skill assumes a target where:
a BlueField-3 is physically present and powered, reachable from a host that has the RShim daemon and
/dev/rshim*tree available,the operator has a BFB image downloaded from the public DOCA Downloads page (route via
doca-public-knowledge-map/SKILL.md), andthe operator has an out-of-band path (BMC console, serial-over-LAN, or physical UART) to reach the BF3 if a push breaks the Arm OS.
It does not cover installing DOCA on a host from scratch (that
goes through doca-setup/SKILL.md), and it does
not cover BlueField-4 (that goes through
doca-bf4-deployment/SKILL.md).
Loading order
Read this skill first to confirm the user's question is in scope (BF3 platform bring-up over the RShim/BFB path; NOT BF4, NOT app-launch, NOT a library-API question).
For the bring-up contract (RShim/BFB transport, TMFIFO channel, DPU-mode surface, host-vs-Arm install distinction, BF3-version overlay, error taxonomy, observability surface, BF3 safety overlay), see the capabilities companion.
For step-by-step workflows —
configure,build(routing stub),modify,run(BFB install + RShim/TMFIFO bring-up),test(post-BFB readiness smoke),debug(the six-statebluefield-state-classifier), plus theDeferred task verbsblock — see the tasks companion.
Example questions this skill answers well
What this skill deliberately does not ship
Related skills
Files
- ATTRIBUTION.mdAdded by AutoGineer915 B
- BENCHMARK.md9.9 KiB
- CAPABILITIES.md18.5 KiB
- LICENSELicence file added by AutoGineer11.2 KiB
- SKILL.md10.4 KiB
- TASKS.md20.7 KiB
- evals/evals.json2.4 KiB
- references/details.md7.9 KiB
- skill-card.md4.5 KiB
- skill.oms.sig5.1 KiB
BENCHMARK.md
Skill Benchmark: doca-bf3-deployment
✅ Overall verdict: PASS — Recommended for publication
Publication Recommendation
Recommended for publication based on the completed evaluation evidence in this report.
Evaluation Metadata
Skill:
doca-bf3-deploymentValidation status:
passedEvaluation date: 2026-10-28
Evaluator version:
1.6.2Agents: Claude Code (
aws/anthropic/bedrock-claude-opus-5-5), Codex (openai/openai/gpt-6.1-sol)Tasks: 3 evaluation tasks (2 positive, 1 negative)
Dataset digest:
sha256:c3d6c876b2c75b4892b8cad068e3cffbe5d78b34b73f1ee3a8be5c76fc675e88(skill-evaluator-dataset-snapshot/1)Attempts per task: 1
Environment:
k8s-sandboxTier 2 evidence: required for publication
Tier 3 evidence: required for publication
Each task attempt ran in its own isolated sandbox pod.
Tier 1 LLM Provenance
SkillSpector provider, model, analyzer revision, and determinism evidence retained for this scan.
| Skill | Provider | Adapter | Analyzer | Model | Revision | Determinism |
|---|---|---|---|---|---|---|
| doca-bf3-deployment | nv_inference | openai | mcp_tool_poisoning | aws/anthropic/bedrock-claude-opus-5-5 | 2.13.1 | nondeterministic / provider_defaults |
| doca-bf3-deployment | nv_inference | openai | semantic_developer_intent | aws/anthropic/bedrock-claude-opus-5-5 | 2.13.1 | nondeterministic / provider_defaults |
| doca-bf3-deployment | nv_inference | openai | semantic_quality_policy | aws/anthropic/bedrock-claude-opus-5-5 | 2.13.1 | nondeterministic / provider_defaults |
| doca-bf3-deployment | nv_inference | openai | semantic_security_discovery | aws/anthropic/bedrock-claude-opus-5-5 | 2.13.1 | nondeterministic / provider_defaults |
| doca-bf3-deployment | nv_inference | openai | meta_analyzer | aws/anthropic/bedrock-claude-opus-5-5 | 2.13.1 | nondeterministic / provider_defaults |
Controls for
doca-bf3-deployment: temperature=not set (source=provider_default, forwarded=no); seed=not set (source=unset, forwarded=no); reasoning_effort=not set (source=provider_default, forwarded=no)
What This Report Answers
The three-tier evaluation checks whether the skill:
is safe to use;
produces correct answers;
is discovered and activated when needed;
helps the agent complete the user's goal and expected workflow; and
avoids wasted skill and tool usage.
Results at a Glance
| Measure | Claude Code (Baseline → Skill Uplift) | Codex (Baseline → Skill Uplift) |
|---|---|---|
| Overall | 96.8% — baseline ran, but no comparable score was available; uplift unavailable | 91.4% — baseline ran, but no comparable score was available; uplift unavailable |
| Security | 100.0% → 100.0% (±0.0 points) | 83.3% → 100.0% (+16.7 points) |
| Correctness | 66.7% → 100.0% (+33.3 points) | 93.3% → 100.0% (+6.7 points) |
| Discoverability | 100.0% — baseline ran, but no comparable score was available; uplift unavailable | 85.0% — baseline ran, but no comparable score was available; uplift unavailable |
| Effectiveness | 72.2% → 100.0% (+27.8 points) | 100.0% → 100.0% (±0.0 points) |
| Efficiency | 84.0% — baseline ran, but no comparable score was available; uplift unavailable | 71.8% — baseline ran, but no comparable score was available; uplift unavailable |
How to read this table: baseline is the same task attempted without the target skill. Scores are rounded to one decimal; threshold-adjacent values use additional precision so their displayed band matches the verdict. Uplift is derived from those displayed scores and shown in percentage points.
Example: 47.0% → 92.0% (+45.0 points) means the skill-assisted run scored 92.0%, 45.0 percentage points above its 47.0% no-skill baseline.
A partial dimension was calculated from only the available configured signals; review the detailed report before relying on it.
Comparison details
Shared-source comparisons use the same signals and weights on both conditions. They do not replace the full dimension scores above or change the publication verdict.
| Agent | Dimension | Basis | Baseline → With skill (uplift) | Explanation |
|---|---|---|---|---|
| claude-code | Discoverability | Dimension comparison | N/A | Discoverability is not applicable to the no-skill baseline; there is no installed skill to discover. |
| claude-code | Efficiency | Token-only comparison | 96.9% → 93.0% (-3.9 points) | Only Token Efficiency is comparable; the full dimension scores use different evaluator sources. |
| codex | Discoverability | Dimension comparison | N/A | Discoverability is not applicable to the no-skill baseline; there is no installed skill to discover. |
| codex | Efficiency | Token-only comparison | 77.4% → 80.3% (+2.9 points) | Only Token Efficiency is comparable; the full dimension scores use different evaluator sources. |
Token Usage
Actual Tier 3 execution usage is reported for every observed agent/case pair and both conditions.
| Agent | Dataset case | With skill | Without skill | Delta | Change | Coverage |
|---|---|---|---|---|---|---|
| claude-code | All cases | 842,051 | 408,714 | +433,337 | +106.02% | skill 3/3; base 3/3 |
| claude-code | doca-bf3-deployment.explicit-positive.v1 | 345,682 | 109,867 | +235,815 | +214.64% | skill 1/1; base 1/1 |
| claude-code | doca-bf3-deployment.implicit-positive.v1 | 346,608 | 190,847 | +155,761 | +81.62% | skill 1/1; base 1/1 |
| claude-code | doca-bf3-deployment.negative.v1 | 149,761 | 108,000 | +41,761 | +38.67% | skill 1/1; base 1/1 |
| codex | All cases | 361,740 | 433,453 | -71,713 | -16.54% | skill 3/3; base 3/3 |
| codex | doca-bf3-deployment.explicit-positive.v1 | 170,950 | 262,004 | -91,054 | -34.75% | skill 1/1; base 1/1 |
| codex | doca-bf3-deployment.implicit-positive.v1 | 106,254 | 90,751 | +15,503 | +17.08% | skill 1/1; base 1/1 |
| codex | doca-bf3-deployment.negative.v1 | 84,536 | 80,698 | +3,838 | +4.76% | skill 1/1; base 1/1 |
| ALL AGENTS | Dataset aggregate | 1,203,791 | 842,167 | +361,624 | +42.94% | skill 6/6; base 6/6 |
Prompt tokens include cached reads, so total tokens are prompt + completion (cached is not added twice). The Efficiency score uses (prompt - cached) + completion. Change is 100 * (with - without) / without; negative means fewer tokens. N/A comparisons include their reason in the coverage column; coverage is never estimated.
Tier Status
| Tier | Purpose | Status | Evidence |
|---|---|---|---|
| Tier 1 | Static validation | PASSED WITH OBSERVATIONS | 11 validator(s); 12 finding(s) |
| Tier 2 | Semantic deduplication | PASSED WITH OBSERVATIONS | 2 validator(s); 2 finding(s) |
| Tier 3 | Live agent evaluation | PASS | 2 agent(s); 3 task(s) |
Findings and Observations
<details> <summary>Show detailed findings and successful checks</summary>
CRITICAL CONTENT_DEDUP/llm_error: LLM analysis failed for a content cluster (
skills/doca-bf3-deployment)HIGH DUPLICATE/duplicate: Duplicate content found across CAPABILITIES.md and TASKS.md: "## Error taxonomy" in CAPABILITIES.md (lines 184-224) vs "## debug" in TASKS.md (lines 296-328) (
CAPABILITIES.md:184)MEDIUM QUALITY/quality_discoverability: Description uses first/second person (
skills/doca-bf3-deployment/SKILL.md)MEDIUM QUALITY/quality_efficiency: Deeply nested references in details.md (
skills/doca-bf3-deployment/SKILL.md)MEDIUM SCHEMA/metadata_key_style: Metadata key 'doca_version' is not kebab-case (
skills/doca-bf3-deployment/SKILL.md)9 additional finding(s) are available in the full evaluation artifacts.
</details>
Scoring Methodology
<details> <summary>Show dimension definitions, source signals, and thresholds</summary>
| Dimension | Question | Scored signals |
|---|---|---|
| Security | Is it safe to use? | security (100%) |
| Correctness | Is the answer correct? | accuracy (100%) |
| Discoverability | Was the right skill loaded when needed? | skill_execution (100%) |
| Effectiveness | Did the skill help complete the task? | goal_accuracy (50%) + behavior_check (50%) |
| Efficiency | Did it avoid wasted tool calls and token usage? | skill_efficiency (50%) + token_efficiency (50%) |
Dimension bands: PASS at 50% or above; NEUTRAL from 40% to below 50%; FAIL below 40%.
Overall Tier 3 lift: PASS at +5 points or more; FAIL at -10 points or less; values between those bands are NEUTRAL.
Overall verdict: PASS only when every configured dimension passes for at least one supported agent. Lift is reported as diagnostic evidence and does not override this gate.
The 50% attempt pass threshold is a separate per-task gate; it is not the dimension pass threshold.
Effectiveness is the equal-weight mean of goal completion (
goal_accuracy) and expected workflow adherence (behavior_check).Efficiency is 50% tool-call productivity (the backward-compatible
skill_efficiencywire id) and 50%token_efficiency. Positive-case skill routing is scored under Discoverability, not Efficiency; a negative case without a routing target is N/A. N/A sources are omitted, remaining weights are renormalized, and the dimension is marked partial.
Signals present in this run:
security(Security): unsafe operations, secret leakage, and unauthorized access.skill_execution(Skill Execution): whether the expected skill was selected, decoys were avoided, and the workflow executed.skill_efficiency(Tool Productivity): tool-call productivity (legacy wire id; routing is scored under Discoverability).accuracy(Accuracy): final-answer correctness against the reference answer.goal_accuracy(Goal Accuracy): whether the user's goal was achieved.behavior_check(Behavior Check): whether the expected workflow behavior was followed.token_efficiency(Token Efficiency): actual uncached prompt plus completion usage (50% of Efficiency).
</details>
Freshness
Regenerate this benchmark when the skill, evaluation dataset, target agent/model, evaluator version, environment, or scoring policy changes.
Requirements and compatibility
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.
The author says: No DOCA install required to read this skill (it is a platform-lifecycle overlay loaded against BF3 hardware); the bring-up and validation steps within DO require a real BlueField-3, host-side RShim access (PCIe or USB), the matching DOCA-Host install, and a BlueField bundle (BFB) image downloaded from the public DOCA Downloads page. The validation steps require a live DOCA install.
Security
What our scanner noticed· Medium risk
- Large base64-encoded blobs
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- NVIDIA
- Publisher
- NVIDIA (Official)
- Source
- NVIDIA/skills · skills/doca-bf3-deployment · commit fce3cca
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE-APACHE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by NVIDIA or NVIDIA.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download doca-bf3-deployment.zip