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CF content-factory

Create complete WeChat Official Account viral articles from a user-provided title by researching high-view YouTube videos, confirming topic/outline with user, writing professional content through self-iteration, and outputting both Markdown and HTML formats.

ClawHub Agent Skills author: jeffli2002 v1.3.0 MIT-0 26 files body ≈ 14 584 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 53/100 · Will not run — References files that are not bundled: references/reference.html, references/web_research_guide.md, references/wechat_publishing_guide.md

GeneratorYouTubeMedia and videoWriting and documentsInfrastructuretype 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%
79
Quality 40%
52
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: references/reference.html, references/web_research_guide.md, references/wechat_publishing_guide.md
Tools and files w 18
0
Consistency w 8
40
Execution cost w 6
40
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: content-factory (ClawHub)

What is at stake

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

Secrets in code 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 files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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 · 13

✓ No critical or high findings

Medium and low: 13
  • medium Secrets in code secret-labelled-token CONFIGURATION.md:65
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    APPSECRET = "a680…c32"
  • medium Secrets in code secret-labelled-token scripts/create_default_cover.py:29
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    APPSECRET = "a680…c32"
  • low Exfiltration read-dotenv API_KEY_SETUP.md:30
    Reads a .env file
    copy .env.example .env
  • low Exfiltration read-dotenv API_KEY_SETUP.md:209
    Reads a .env file
    type .env
  • low Exfiltration read-dotenv API_KEY_SETUP.md:212
    Reads a .env file
    copy .env.example .env
  • low Secrets in code secret-password-literal CONFIGURATION.md:151
    Hard-coded password / key literal (may be an example) (placeholder value)
    API_KEY = "sk-a…..."
    placeholder
  • low Exfiltration read-dotenv CONFIGURATION.md:180
    Reads a .env file
    copy .env.example .env
  • low Exfiltration read-dotenv CONFIGURATION.md:213
    Reads a .env file
    copy .env.example .env
  • low Exfiltration read-dotenv scripts/check_env.py:18
    Reads a .env file (quoted — discussed, not commanded)
    print(f"   cp .env.example .env")
    quoted
  • low Exfiltration read-dotenv scripts/check_env.py:116
    Reads a .env file (quoted — discussed, not commanded)
    print(f"   cp .env.example .env")
    quoted
  • low Exfiltration read-dotenv scripts/check_env.py:130
    Reads a .env file (quoted — discussed, not commanded)
    print("   2. Copy .env.example to .env")
    quoted
  • low Exfiltration read-dotenv scripts/wechat_publish.py:78
    Reads a .env file (quoted — discussed, not commanded)
    print("   1. Copy .env.example to .env")
    quoted
  • low Exfiltration read-dotenv SKILL.md:1488
    Reads a .env file
    copy .env.example .env

Files scanned: 26. 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")
  • warning body-long SKILL.md body ≈ 14584 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/reference.html
  • warning missing-ref reference to a missing file: references/web_research_guide.md
  • warning missing-ref reference to a missing file: references/wechat_publishing_guide.md
  • warning missing-ref reference to a missing file: assets/wechat_outline_template.md

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: references/reference.html, references/web_research_guide.md, references/wechat_publishing_guide.md
  • 0Tools and files. 4 referenced file(s) missing: references/reference.html, references/web_research_guide.md, references/wechat_publishing_guide.md
  • 40Consistency. Frontmatter name (content-factory) differs from the folder (content-factory-v2)
  • 40Execution cost. Instruction body is 14584 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Steps. 626 steps, 4 vague phrases
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 19 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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)
  • -248 emoji in the instructions: noise for the model
  • -35 of 11 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 258: enough signal without eating the budget
  • +4Structure: 54 headings
  • +3Step-by-step instructions: 626 items
  • +3Output format is stated explicitly
  • +4Has examples (49 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 52.

External checks

ClawHub: suspicious
This skill can create WeChat articles, but it also has high-impact publishing and unsafe credential-handling behaviors that should be reviewed before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026