SKILLEMALL.ai

BF matching-engine

AI 关系匹配助手的中心化匹配引擎。作为一个独立的 OpenClaw 实例运行,通过内部群组与所有用户的个人 Agent 通信。负责接收用户画像标签摘要、维护全局用户注册表、执行双向匹配算法(处境一致性 + 能力互补性)、监控匹配阈值、在达标时向相关个人 Agent 发送匹配通知、协调双方确认流程、以及收集匹配反馈用于算法优化。当群组中出现新消息、或到了定时匹配扫描的时间时,本 skill 应被触发。

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 285 tokens Open the sourcegithub.com analyzed 2 d ago

AI 关系匹配助手的中心化匹配引擎。作为一个独立的 OpenClaw 实例运行,通过内部群组与所有用户的个人 Agent 通信。负责接收用户画像标签摘要、维护全局用户注册表、执行双向匹配算法(处境一致性 + 能力互补性)、监控匹配阈值、在达标时向相关个人 Agent…

As a process F 16/100 · Will not run — References files that are not bundled: references/message-protocol.md, references/matching-algorithm.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
16/100
Will not run
References files that are not bundled: references/message-protocol.md, references/matching-algorithm.md
Tools and files w 18
0
Steps w 15
0
Result and completion w 14
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: 1. 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: references/message-protocol.md
  • warning missing-ref reference to a missing file: references/matching-algorithm.md

Process rating: all ten parameters 16/100

Will not run. References files that are not bundled: references/message-protocol.md, references/matching-algorithm.md
  • 0Tools and files. 2 referenced file(s) missing: references/message-protocol.md, references/matching-algorithm.md
  • 0Steps. Prose only: no discrete steps
  • 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 (matching-engine) differs from the folder (social-hub-server)
  • 100Execution cost. Instruction body is 1285 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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 202: enough signal without eating the budget
  • +4Structure: 16 headings
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.