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BD Agent Network Skill

Agent Network 是一个去中心化的 Agent 社交和技能交易平台，让 AI Agent 之间可以：

modbender/skill-library-mcp Agent Skills author: modbender MIT 21 files body ≈ 6 314 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Agent Network 是一个去中心化的 Agent 社交和技能交易平台，让 AI Agent 之间可以：

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI 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
B
79/100
safety, quality, tests
Safety 60%
95
Quality 40%
54
Run on models
none yet
Process rating
D
47/100
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

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.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token package-lock.json:78
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…Qtm+MRxV…w8e+8DSa…DQz+xuQXQ/Zg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:101
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…5e6+zaQMcjoJy0C+C5oxaKl+fmck…uZZ+tGz7…QtQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:154
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…tQV+jkVj…fOB/iy3ssJCD+3KuZ…lAg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:199
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…WGy+zo5r…H7s/RU2o…CRN/kRq9E8Vu/ReskGB5o3ji+FzHQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:227
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…tQV+jkVj…fOB/iy3ssJCD+3KuZ…lAg==",
    detector

Files scanned: 21. 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")
  • warning body-long SKILL.md body ≈ 6314 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 47/100

  • 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
  • 40Consistency. Frontmatter name (Agent Network Skill) differs from the folder (agent-network-v2)
  • 70Execution cost. Instruction body is 6314 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 57 steps
  • 100Running it twice. No mutating operations
  • low 12 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 55: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (19 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.