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CD remote-job-hunter

Automatically find remote jobs every day and match them to your resume. Searches 5 platforms daily, scores each job against your resume using NLP, identifies skill gaps, and auto-applies to 70 percent matches with a JD-tailored resume via Playwright, with WhatsApp confirmation. Supports AI/ML, QA Automation, Software Engineering, and DevOps roles.

ClawHub Agent Skills author: Rajkiran Veldur v1.2.0 18 files body ≈ 0 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ReferenceWhatsAppPlaywrightInfrastructuretype 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
C
62/100
safety, quality, tests
Safety 60%
99
Quality 40%
6
Run on models
none yet
Process rating
D
38/100
Unfinished process
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

  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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-privilege src/apply.py:464
    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: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error body-empty SKILL.md: empty instructions body
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 38/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 0 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)
  • +4Structure: 0 headings, hard to scan
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -15SKILL.md body under 300 characters: nearly empty
  • +1No license
  • +2Single-language instructions
  • +3Description length 349: enough signal without eating the budget

Quality base 70; lint remarks subtract, signals add up to 100. Result: 6.

External checks

ClawHub: suspicious
This skill is a job-search tool, but it ships real auto-apply code that can send resumes and application data externally while the documentation is inconsistent about that capability.
LLM: suspicious (high) · VirusTotal: · 29 May 2026