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BF feature-toggle-manager

Audit, manage, and clean up feature flags across codebases to reduce toggle debt

ClawHub Agent Skills author: charlie-morrison v1.0.0 MIT-0 2 files body ≈ 2 745 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 33/100 · Will not run — References files that are not bundled: [^'\"]+

AnalyzerSoftware developmentInfrastructuretype 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%
63
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: [^'\"]+
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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 Exfiltration net-credential-use SKILL.md:81
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    curl -s -H "Authorization: $LD_API_KEY" \
    security skill
  • low Exfiltration net-credential-use SKILL.md:93
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    curl -s -H "Authorization: $UNLEASH_API_TOKEN" \
    security skill

Files scanned: 2. 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: [^'\"]+

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: [^'\"]+
  • 0Tools and files. 1 referenced file(s) missing: [^'\"]+
  • 0Result and completion. Does not say what the result is
  • 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. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (feature-toggle-manager) differs from the folder (cm-feature-toggle-manager)
  • 55Failures and branches. 1 branches
  • 100Steps. 4 steps
  • 100Execution cost. Instruction body is 2745 tokens
  • high The skill tells the model to perform an irreversible action with no human approval

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)
  • +3Description length 80: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 4 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This is a transparent feature-flag cleanup guide, but users should treat its credentialed service commands as sensitive and run them deliberately.
LLM: benign (high) · VirusTotal: · 29 May 2026