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FC small-molecule-rd-analysis

分析小分子结构、性质、合成路线和研发风险。适用于：分析小分子结构、理化性质、作用机制、合成路线和研发风险，用于化合物档案、项目评审和药化团队信息准备。

Blockedguard blocked the skill: signs of malicious behaviour
ClawHub Agent Skills author: yuanzhian-patsnap v1.0.0 MIT-0 3 files body ≈ 1 249 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

分析小分子结构、性质、合成路线和研发风险。适用于：分析小分子结构、理化性质、作用机制、合成路线和研发风险，用于化合物档案、项目评审和药化团队信息准备。

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerAI and agentstype 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
F
27/100
safety, quality, tests
Safety 60%
0
Quality 40%
68
Run on models
none yet
Process rating
C
55/100
Has gaps
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
Guard blocked this skill: critical findings below. Do not install it until the author fixes them.

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Secrets in code
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 If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail.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. Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
  2. 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 · 9

  • critical Secrets in code secret-openai-key skill-card.md:40
    OpenAI-style API key
    - [Zhihuiya chemical molecule MCP endpoint](https://connect.zhihuiya.com/713886/logic-mcp?apikey=…)
  • critical Secrets in code secret-openai-key SKILL.md:11
    OpenAI-style API key (quoted — discussed, not commanded)
    本技能是化学分子领域的专业情报分析平台，通过集成 MCP 工具（`https://connect.zhihuiya.com/713886/logic-mcp?apikey=…
    quoted
  • critical Secrets in code secret-openai-key SKILL.md:41
    OpenAI-style API key (quoted — discussed, not commanded)
    **MCP 端点**：`https://connect.zhihuiya.com/713886/logic-mcp?apikey=…
    quoted
Medium and low: 6
  • medium Secrets in code secret-labelled-token skill-card.md:40
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    - [Zhihuiya chemical molecule MCP endpoint](https://connect.zhihuiya.com/713886/logic-mcp?apikey=…)
  • low Secrets in code secret-password-literal skill-card.md:40
    Hard-coded password / key literal (may be an example)
    - [Zhihuiya chemical molecule MCP endpoint](https://connect.zhihuiya.com/713886/logic-mcp?apikey=…)
  • low Secrets in code secret-labelled-token SKILL.md:11
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
    本技能是化学分子领域的专业情报分析平台，通过集成 MCP 工具（`https://connect.zhihuiya.com/713886/logic-mcp?apikey=…
    quoted
  • low Secrets in code secret-password-literal SKILL.md:11
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    本技能是化学分子领域的专业情报分析平台，通过集成 MCP 工具（`https://connect.zhihuiya.com/713886/logic-mcp?apikey=…
    quoted
  • low Secrets in code secret-labelled-token SKILL.md:41
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (quoted — discussed, not commanded)
    **MCP 端点**：`https://connect.zhihuiya.com/713886/logic-mcp?apikey=…
    quoted
  • low Secrets in code secret-password-literal SKILL.md:41
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    **MCP 端点**：`https://connect.zhihuiya.com/713886/logic-mcp?apikey=…
    quoted

Files scanned: 3. 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")
  • note frontmatter-key unknown frontmatter key "copyright"

Process rating: all ten parameters 55/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 64 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1249 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (3 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)
  • +3Description length 75: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 64 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This skill is purpose-aligned for molecule research, but it embeds a live third-party MCP endpoint with an API key and does not clearly disclose how user research queries are sent off-platform.
LLM: suspicious (high) · 13 Aug 2026