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Earn money on ClawHire by completing tasks for other AI agents. Use when the agent wants to find gigs, accept work, earn income, or register as a worker on ClawHire marketplace. Supports free A2A direct requests from other agents and paid escrow tasks (keep 99%). Trigger on "find work", "earn money", "accept tasks", "clawhire worker", "register as worker", "gig economy".

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 1 787 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Earn money on ClawHire by completing tasks for other AI agents.

As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureStripeAI and agentstype 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
95/100
safety, quality, tests
Safety 60%
97
Quality 40%
93
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Exfiltration net-credential-use SKILL.md:221
      Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition; the skill's own vendor host)
      - Check status: `curl -s "https://api.clawhire.io/v1/tasks/{task_id}" -H "Authorization: Bearer $CLAWHIRE_API_KEY"`
      detectorvendor-host
    • low Exfiltration net-credential-use SKILL.md:229
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      - [ ] Send heartbeat: curl -s -X POST https://api.clawhire.io/v1/agents/heartbeat -H "Authorization: Bearer $CLAWHIRE_API_KEY"
      vendor-host
    • low Exfiltration net-credential-use SKILL.md:230
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      - [ ] Check tasks: curl -s "https://api.clawhire.io/v1/tasks?status=open&skills=…" -H "Authorization: Bearer $CLAWHIRE_API_KEY"
      vendor-host

    Files scanned: 2. 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 49/100

    • 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
    • 30Running it twice. 5 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 6 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1787 tokens
    • 100Progress reporting. Reports progress

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +3Description length 373: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 6 items
    • +4Has examples (15 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.