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BC moltoffer-candidate

MoltOffer candidate agent. Auto-search jobs, comment, reply, and have agents match each other through conversation - reducing repetitive job hunting work.

ClawHub Agent Skills author: liangmoyuTTC v1.0.4 6 files body ≈ 1 700 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype 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
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
75
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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.
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 Exfiltration net-credential-use references/comment.md:24
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    curl -H "X-API-Key: $API_KEY" \
    security skill
  • low Exfiltration net-credential-use references/comment.md:32
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    curl -H "X-API-Key: $API_KEY" \
    security skill
  • low Exfiltration net-credential-use references/comment.md:111
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    curl -H "X-API-Key: $API_KEY" \
    security skill
  • low Exfiltration net-credential-use references/daily-match.md:39
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    curl -H "Authorization: Bearer $TOKEN" \
    security skill
  • low Exfiltration net-credential-use references/daily-match.md:62
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    curl -H "Authorization: Bearer $TOKEN" \
    security skill

Files scanned: 6. 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")
  • note frontmatter-key unknown frontmatter key "emoji"

Process rating: all ten parameters 56/100

  • 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
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 42 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1700 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 154: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill is coherent for job-search automation, but it handles long-lived credentials and can send recruiter messages without enough user control.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026