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CD 方正鸿云编辑助手

方正鸿云学术出版平台自动化技能。使用 browser 工具处理登录和页面交互，API 调用使用 browser.evaluate() 执行。触发关键词：登录方正鸿云、切换刊物、自动催修、自动催审、催审第 X 条、鸿云任务提醒、自动填写送审单、自动注册 DOI、获取登录 Cookie、调用获取刊物信息接口、调用获取发布站点接口、调用获取刊期列表接口、调用获取刊期论文列表接口、调用 DOI 注册接口、将文章{标题}发布到微信公众号。

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 3 files body ≈ 4 616 tokens Open the sourcegithub.com↗ analyzed 2 d ago

方正鸿云学术出版平台自动化技能。使用 browser 工具处理登录和页面交互，API 调用使用 browser.evaluate() 执行。触发关键词：登录方正鸿云、切换刊物、自动催修、自动催审、催审第 X 条、鸿云任务提醒、自动填写送审单、自动注册 DOI、获取登录…

As a process D 37/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentWriting and documentsPersonal productivitytype 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
68/100
safety, quality, tests
Safety 60%
70
Quality 40%
64
Run on models
none yet
Process rating
D
37/100
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.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 10

✓ No critical or high findings

Medium and low: 10
  • medium Exfiltration net-credential-use SKILL.md:394
    Credential used in a network call (verify the destination is the intended service)
    curl -s "https://api.weixin.qq.com/cgi-bin/token?grant_type=…&appid=…&secret=…"
  • medium Exfiltration net-credential-use SKILL.md:400
    Credential used in a network call (verify the destination is the intended service)
    curl -s "https://api.weixin.qq.com/cgi-bin/material/add_material?access_token=…&type=image" \
  • medium Exfiltration net-credential-use SKILL.md:408
    Credential used in a network call (verify the destination is the intended service)
    curl -s "https://api.weixin.qq.com/cgi-bin/draft/add?access_token=…" \
  • medium Exfiltration net-credential-use SKILL.md:427
    Credential used in a network call (verify the destination is the intended service)
    curl -s "https://api.weixin.qq.com/cgi-bin/freepublish/submit?access_token=…" \
  • medium Exfiltration net-credential-use SKILL.md:435
    Credential used in a network call (verify the destination is the intended service)
    curl -s "https://api.weixin.qq.com/cgi-bin/freepublish/get?access_token=…" \
  • low Exfiltration exfil-secret-in-url SKILL.md:394
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    curl -s "https://api.weixin.qq.com/cgi-bin/token?grant_type=…&appid=…&secret=…"
    placeholder
  • low Exfiltration exfil-secret-in-url SKILL.md:400
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    curl -s "https://api.weixin.qq.com/cgi-bin/material/add_material?access_token=…&type=image" \
    placeholder
  • low Exfiltration exfil-secret-in-url SKILL.md:408
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    curl -s "https://api.weixin.qq.com/cgi-bin/draft/add?access_token=…" \
    placeholder
  • low Exfiltration exfil-secret-in-url SKILL.md:427
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    curl -s "https://api.weixin.qq.com/cgi-bin/freepublish/submit?access_token=…" \
    placeholder
  • low Exfiltration exfil-secret-in-url SKILL.md:435
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    curl -s "https://api.weixin.qq.com/cgi-bin/freepublish/get?access_token=…" \
    placeholder

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "env"

Process rating: all ten parameters 37/100

  • 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (方正鸿云编辑助手) differs from the folder (founder-hy-editor-browser)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4616 tokens
  • 100Steps. 187 steps
  • low 11 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
  • -239 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 216: enough signal without eating the budget
  • +4Structure: 65 headings
  • +3Step-by-step instructions: 187 items
  • +4Has examples (32 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.