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BF multi-agent-collaboration

多智能体协作系统V1.4（最终版），支持**所有行业所有内容**的智能协作： 通用信息守护者(信息采集)、内容趋势优化系统(趋势创作)、状态洞察模块(个人状态)、工作流沉淀系统(报告生成)。 适用于：金融、医疗、教育、零售、科技、制造业、餐饮、服务业等**全行业**。 核心功能：意图识别+智能路由+反思机制+主动感知+用户自适应，支持串行/并行/跳过/精简多种执行模式， 执行前自动检索记忆库，学习用户偏好，动态调整交互方式，预测用户需求。 包含强大的记忆系统V2，支持场景化记忆、分层存储、遗忘机制和智能检索。

modbender/skill-library-mcp Agent Skills author: modbender MIT 31 files · 1 script body ≈ 1 613 tokens Open the sourcegithub.com↗ analyzed 2 d ago

多智能体协作系统V1.4（最终版），支持所有行业所有内容的智能协作： 通用信息守护者(信息采集)、内容趋势优化系统(趋势创作)、状态洞察模块(个人状态)、工作流沉淀系统(报告生成)。 适用于：金融、医疗、教育、零售、科技、制造业、餐饮、服务业等全行业。…

As a process F 32/100 · Will not run — References files that are not bundled: scripts/memory-v2.ts

ProcedureAI 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
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
32/100
Will not run
References files that are not bundled: scripts/memory-v2.ts
Tools and files w 18
0
Result and completion w 14
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.
  2. 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 · 0

✓ No critical or high findings

Files scanned: 31. 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 missing-ref reference to a missing file: scripts/memory-v2.ts

Process rating: all ten parameters 32/100

Will not run. References files that are not bundled: scripts/memory-v2.ts
  • 0Tools and files. 1 referenced file(s) missing: scripts/memory-v2.ts
  • 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
  • 75Steps. 3 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1613 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Output format is not stated: the model decides each time
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 257: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (2 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.