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ClawHub Agent Skills author: emrekilinc v1.0.0 7 files · 1 script body ≈ 345 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 31/100 · Will not run — weak spots: steps, result and completion, when it triggers

IntegrationLinearInfrastructuretype 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
A
92/100
safety, quality, tests
Safety 60%
95
Quality 40%
88
Run on models
none yet
Process rating
F
31/100
Will not run
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token package-lock.json:67
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…lh5/QnVs…M7y/WU9j+236K…xwI+0sEO…EXw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:99
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha512-m+m4PZ…CqK+PZ1p…R8f+zozV…EEg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:150
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…0YH+uCmB…OWQ==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:222
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…oyg+GOH3rYX++Kpzr…3Nk+U8XO…syg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:277
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…vAm+c/Slfz…0Nt+v8wr…WwQ==",
      detector

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

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 31/100

    • 0Steps. Prose only: no discrete steps
    • 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. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (linear) differs from the folder (linear-issues)
    • 100Tools and files. No external tools needed
    • 100Execution cost. Instruction body is 345 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)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 187: enough signal without eating the budget
    • +4Structure: 4 headings
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This is a coherent Linear integration, but it can immediately modify shared Linear data with a stored API key and has weak input and credential safeguards.
    LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026