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BF asana-git-retex

Rétroaction et résolution des points bloquants pour l'automatisation Asana et Git dans KiloClaw.

ClawHub Agent Skills author: Nicolas Kleiber v1.0.0 MIT-0 2 files body ≈ 1 082 tokens Open the sourceclawhub.ai↗ analyzed 32 h ago

Rétroaction et résolution des points bloquants pour l'automatisation Asana et Git dans KiloClaw.

As a process F 33/100 · Will not run — References files that are not bundled: scripts/morning_brief.py

ProcedureAsanaGitHubSoftware developmenttype 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
83/100
safety, quality, tests
Safety 60%
99
Quality 40%
59
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/morning_brief.py
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration net-credential-use SKILL.md:18
    Credential used in a network call (verify the destination is the intended service) (destination is a well-known publishing service; quoted — discussed, not commanded)
    3. **Prévention** : Ajouter une vérification de santé du token (`curl -s -H "Authorization: token $TOKEN" https://api.github.com/user`) dans le script de backup avant toute opération Git.
    known servicequoted

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: scripts/morning_brief.py

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/morning_brief.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/morning_brief.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1082 tokens

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 96: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 27 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: suspicious
This is a narrow Asana/Git workflow note, but it gives unsafe instructions for storing live GitHub and Asana tokens.
LLM: suspicious (high) · VirusTotal: · 7 Jun 2026