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BC sum2slides-lite

对话总结成专业PPT，支持纯本地处理和可选飞书上传 (v1.1.6)

ClawHub Agent Skills author: Wei Wu v1.1.6 MIT-0 40 files body ≈ 982 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePowerPointInfrastructuretype 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
B
77/100
safety, quality, tests
Safety 60%
87
Quality 40%
63
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
When it triggers w 12
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 · 13

✓ No critical or high findings

Medium and low: 13
  • low Exfiltration read-dotenv CHANGELOG.md:213
    Reads a .env file
    cp ~/.openclaw/skills/sum2…ite/.env ~/.openclaw/skills/sum2…ite/.env.backup
  • low Exfiltration read-dotenv CHANGELOG.md:236
    Reads a .env file
    cp ~/.openclaw/skills/sum2…ite/.env.backup ~/.openclaw/skills/sum2…ite/.env
  • low Secrets in code secret-labelled-token credentials_management.md:67
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    API_KEY = "sk_l…def"
    placeholder
  • low Secrets in code secret-password-literal credentials_management.md:67
    Hard-coded password / key literal (may be an example) (placeholder value)
    API_KEY = "sk_l…def"
    placeholder
  • low Secrets in code secret-password-literal docs/PERMISSIONS.md:87
    Hard-coded password / key literal (may be an example)
    API_KEY = "sk_l…456"
  • low Exfiltration read-dotenv docs/PERMISSIONS.md:157
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv docs/SECURITY_GUIDE.md:82
    Reads a .env file (documentation of a security skill)
    cp .env.example .env
    security skill
  • low Exfiltration read-dotenv docs/USER_GUIDE.md:92
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv docs/USER_GUIDE.md:358
    Reads a .env file
    cp .env .env.backup
  • low Exfiltration read-dotenv install_mechanism.md:78
    Reads a .env file
    cp .env.example .env
  • low Dangerous commands cmd-shell-rc INSTALL_SPECIFICATION.md:58
    Writes to a shell startup file (test fixture / example file)
    echo 'export FEISHU_APP_ID="your_app_id"' >> ~/.bashrc
    fixture
  • low Dangerous commands cmd-shell-rc INSTALL_SPECIFICATION.md:59
    Writes to a shell startup file (test fixture / example file)
    echo 'export FEISHU_APP_SECRET="your_app_secret"' >> ~/.bashrc
    fixture
  • low Exfiltration read-dotenv INSTALL_SPECIFICATION.md:64
    Reads a .env file (test fixture / example file)
    cp .env.example .env
    fixture

Files scanned: 40. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 40 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 982 tokens
  • 100Running it twice. No mutating operations
  • 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)
  • +3Description length 34: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -229 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 40 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (2 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
The skill mostly matches a conversation-to-PPT tool, but its code can try external Feishu sharing by default and includes under-scoped messaging and credential-handling behavior users should review first.
LLM: suspicious (high) · VirusTotal: · 29 May 2026