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BF dodaf

Create, verify, and document DoDAF 2.0/2.1 architecture models with comprehensive completeness and consistency checks. Guides users step-by-step through professional defense architecture design. Outputs consolidated PDF/Word report with all views integrated.

ClawHub Agent Skills author: hsuhsuehi v1.0.0 MIT-0 7 files body ≈ 4 882 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 42/100 · Will not run — References files that are not bundled: path, references/dodaf-terminology.md, references/dodaf-best-practices.md

AnalyzerData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
98
Quality 40%
62
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: path, references/dodaf-terminology.md, references/dodaf-best-practices.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token scripts/verify_dodaf.py:54
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "OV-3": ["OV-3…rix"],
    detector
  • low Secrets in code secret-high-entropy-token scripts/verify_dodaf.py:58
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "CV-3": ["CV-3…ies"],
    quoted

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: path
  • warning missing-ref reference to a missing file: references/dodaf-terminology.md
  • warning missing-ref reference to a missing file: references/dodaf-best-practices.md

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: path, references/dodaf-terminology.md, references/dodaf-best-practices.md
  • 0Tools and files. 3 referenced file(s) missing: path, references/dodaf-terminology.md, references/dodaf-best-practices.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4882 tokens
  • 85Steps. 166 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • low 10 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • -233 emoji in the instructions: noise for the model
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 258: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 166 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
This DoDAF skill is not malware, but it needs review because it may use sensitive defense-planning details in external research and overstates how strong its validation checks are.
LLM: suspicious (high) · VirusTotal: · 28 May 2026