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CD wechat-file-finder

在本地 Windows 电脑上查找、索引、检查并继续处理微信文件。适用于按文件名或内容搜索、自然语言日期与类型筛选、重复文件检测、打开文件位置，以及总结、提取或比较文件等后续任务。

ClawHub Agent Skills author: Cryptocxf v2.1.0 MIT-0 9 files · 2 scripts body ≈ 471 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

在本地 Windows 电脑上查找、索引、检查并继续处理微信文件。适用于按文件名或内容搜索、自然语言日期与类型筛选、重复文件检测、打开文件位置，以及总结、提取或比较文件等后续任务。

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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
70/100
safety, quality, tests
Safety 60%
70
Quality 40%
70
Run on models
none yet
Process rating
D
39/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Dangerous commands cmd-execpolicy-bypass references/index-workflow.md:12
    Runs PowerShell with execution policy bypassed
    powershell -NoProfile -ExecutionPolicy Bypass -File "<skill-dir>\scripts\wech…ps1" status
  • medium Dangerous commands cmd-execpolicy-bypass references/index-workflow.md:18
    Runs PowerShell with execution policy bypassed
    powershell -NoProfile -ExecutionPolicy Bypass -File "<skill-dir>\scripts\wech…ps1" build
  • medium Dangerous commands cmd-execpolicy-bypass references/index-workflow.md:26
    Runs PowerShell with execution policy bypassed
    powershell -NoProfile -ExecutionPolicy Bypass -File "<skill-dir>\scripts\wech…ps1" search "退款条款" --extension docx --since 2026-08-01 --limit 20
  • medium Dangerous commands cmd-execpolicy-bypass references/index-workflow.md:34
    Runs PowerShell with execution policy bypassed
    powershell -NoProfile -ExecutionPolicy Bypass -File "<skill-dir>\scripts\wech…ps1" duplicates --limit 20
  • medium Dangerous commands cmd-execpolicy-bypass references/index-workflow.md:42
    Runs PowerShell with execution policy bypassed
    powershell -NoProfile -ExecutionPolicy Bypass -File "<skill-dir>\scripts\wech…ps1" import-metadata "C:\path\metadata.csv"
  • medium Dangerous commands cmd-execpolicy-bypass SKILL.md:19
    Runs PowerShell with execution policy bypassed
    powershell -NoProfile -ExecutionPolicy Bypass -File "<skill-dir>\scripts\find…ps1" -Query "文件名或关键词" -OpenInExplorer

Files scanned: 9. 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")

Process rating: all ten parameters 39/100

  • 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
  • 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
  • 40Consistency. Frontmatter name (wechat-file-finder) differs from the folder (wechat-file-assistant)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Execution cost. Instruction body is 471 tokens

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)
  • +3Description length 90: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

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

External checks

ClawHub: suspicious
The skill is coherent and local-only, but it can scan and persistently index sensitive WeChat file contents without built-in retention, deletion, encryption, or a separate consent step.
LLM: suspicious (high) · 21 Aug 2026