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DF bioinfo-engineer-skill

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: Fang, Chao v1.0.0 MIT-0 2 files body ≈ 5 133 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

将 Agent 塑造为遵循最佳实践的生信分析工程师：环境优先、工具复用、版本控制、文档驱动、密钥隔离、数据版本化、经验沉淀、相对路径规范。 Agent 不是从零开始写算法，而是像资深生信工程师一样：

As a process F 30/100 · Will not run — References files that are not bundled: scripts/run_{task_name}_{YYYYMMDD}.sh, scripts/\

ProcedureSoftware developmenttype 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
D
58/100
safety, quality, tests
Safety 60%
96
Quality 40%
0
Run on models
none yet
Process rating
F
30/100
Will not run
References files that are not bundled: scripts/run_{task_name}_{YYYYMMDD}.sh, scripts/\
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
  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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Exfiltration read-dotenv SKILL.md:128
    Reads a .env file (detector / deny-list definition)
    - Shell: `source .env`
    detector
  • low Exfiltration read-dotenv SKILL.md:206
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv SKILL.md:604
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv SKILL.md:869
    Reads a .env file
    cp .env.template .env

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning body-long SKILL.md body ≈ 5133 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/run_{task_name}_{YYYYMMDD}.sh
  • warning missing-ref reference to a missing file: scripts/\

Process rating: all ten parameters 30/100

Will not run. References files that are not bundled: scripts/run_{task_name}_{YYYYMMDD}.sh, scripts/\
  • 0Tools and files. 2 referenced file(s) missing: scripts/run_{task_name}_{YYYYMMDD}.sh, scripts/\
  • 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
  • 30Running it twice. 12 mutating operations with no state check
  • 70Execution cost. Instruction body is 5133 tokens
  • 100Steps. 168 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 20 top-level sections: this looks like several domains in one skill
  • 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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -220 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 82 headings
  • +3Step-by-step instructions: 168 items
  • +4Has examples (22 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: clean
This skill is a coherent bioinformatics workflow guide, but users should tighten its example secret-handling and logging templates before using them with real credentials.
LLM: benign (high) · VirusTotal: · 20 Jun 2026