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AF hr-recruiting-tracker

HR 招聘数据整理技能。用于本地解析 PDF/DOCX/TXT/Markdown 简历为 Markdown/JSON 简历包、生成候选人资料草稿、将确定性候选人草稿录入腾讯文档智能表格，以及初始化或维护岗位信息库。 Use when: resume ingestion, candidate draft extraction, Tencent Docs candidate upload, recruiting job table setup. 当前已实现工作流：resume-ingest、candidate-upload、job-management。

ClawHub Agent Skills author: Surqing v1.0.0 MIT-0 14 files body ≈ 1 980 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: references/auth.md

GeneratorWordPeople and hiringInfrastructuretype 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%
100
Quality 40%
80
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/auth.md
Tools and files w 18
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. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/auth.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/auth.md
  • 0Tools and files. 1 referenced file(s) missing: references/auth.md
  • 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
  • 100Steps. 63 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1980 tokens
  • low 10 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 5 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 278: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 63 items
  • +4Has examples (20 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This skill is a disclosed HR recruiting workflow that locally parses resumes and optionally uploads reviewed candidate or job records to Tencent Docs.
LLM: benign (high) · VirusTotal: · 29 May 2026