SKILLEMALL.ai
GitHub ↗ RU Sign in

AC work-application

CV generation, job scraping, offer analysis, and application tracking. Use when: (1) generating or adapting a CV/resume for a job offer, (2) scraping job offers from French platforms, (3) analyzing and ranking job offers, (4) generating a full analysis report for a single offer (skills, company, location, salary), (5) tracking candidatures and their status, (6) validating CV content against formatting guardrails. NOT for: cover letter generation (planned), LinkedIn direct messaging, job application submission, salary negotiation coaching.

modbender/skill-library-mcp Agent Skills author: modbender MIT 19 files body ≈ 3 285 tokens Open the sourcegithub.com↗ analyzed 3 d ago

CV generation, job scraping, offer analysis, and application tracking.

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerPlaywrightPeople and hiringtype 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
93/100
safety, quality, tests
Safety 60%
97
Quality 40%
87
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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 Dangerous commands cmd-privilege scripts/_analyzer.py:745
      Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
      args=["--no-sandbox", "--disable-setuid-sandbox"],
      detectorcode literal
    • low Dangerous commands cmd-privilege scripts/_report.py:296
      Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
      args=["--no-sandbox", "--disable-setuid-sandbox"],
      detectorcode literal
    • low Dangerous commands cmd-privilege scripts/_report.py:401
      Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
      args=["--no-sandbox", "--disable-setuid-sandbox"],
      detectorcode literal

    Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "ontology"

    Process rating: all ten parameters 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 5 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 85Steps. 37 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3285 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 16 top-level sections: this looks like several domains in one skill

    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
    • +3Output format is not stated: the model decides each time
    • -311 of 14 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 544: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 37 items
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.