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ClawHub Agent Skills author: davidsmorais v1.0.0 2 files body ≈ 315 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, progress reporting

ProcedureInfrastructuretype 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
82/100
safety, quality, tests
Safety 60%
96
Quality 40%
62
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Exfiltration net-credential-use SKILL.md:27
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    `curl -X POST https://api.capacities.io/save-to-daily-note -H "Authorization: Bearer $CAPACITIES_API_TOKEN" -H "Content-Type: application/json" -d '{"spaceId": "$CAPACITIES_SPACE_ID", "mdText": "Your
    vendor-hostquoted
  • low Exfiltration net-credential-use SKILL.md:31
    Credential used in a network call (verify the destination is the intended service) (security demo / example; the skill's own vendor host; quoted — discussed, not commanded)
    `curl -X POST https://api.capacities.io/save-weblink -H "Authorization: Bearer $CAPACITIES_API_TOKEN" -H "Content-Type: application/json" -d '{"spaceId": "$CAPACITIES_SPACE_ID", "url": "https://exampl
    demovendor-hostquoted
  • low Exfiltration net-credential-use SKILL.md:35
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    `curl -X POST https://api.capacities.io/lookup -H "Authorization: Bearer $CAPACITIES_API_TOKEN" -H "Content-Type: application/json" -d '{"spaceId": "$CAPACITIES_SPACE_ID", "searchTerm": "My Note"}'`
    vendor-hostquoted
  • low Exfiltration net-credential-use SKILL.md:39
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    `curl -X GET "https://api.capacities.io/space-info?spaceid=…" -H "Authorization: Bearer $CAPACITIES_API_TOKEN"`
    vendor-hostquoted

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")

Process rating: all ten parameters 52/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Steps. 2 steps
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 315 tokens
  • 100Running it twice. No mutating operations

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 53: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 7 headings

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

External checks

ClawHub: suspicious
The skill matches its Capacities note-taking purpose, but its shell examples need review because unsafe value substitution could run unintended local commands.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026