AC knowledge-miner
从 Git commit 或当前会话的真实信息中挖掘知识，把分散概念串成一条完整的功能因果链，并通过费曼讲解和从零创造最小版本帮助初中生真正理解。当用户要求总结提交知识点、学习最近修改、讲解某个 commit、复盘本次会话、总结刚才学到了什么，或从上文提炼知识时使用。提供 commit hash 时分析指定提交；明确指定当前会话时分析可见会话证据；未指定来源时合并分析最近三次提交。
从 Git commit 或当前会话的真实信息中挖掘知识，把分散概念串成一条完整的功能因果链，并通过费曼讲解和从零创造最小版本帮助初中生真正理解。当用户要求总结提交知识点、学习最近修改、讲解某个 commit、复盘本次会话、总结刚才学到了什么，或从上文提炼知识时使用。提供 commit hash…
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 51/100
- 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
- 30Running it twice. 26 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 78 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1593 tokens
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
- +1No license
- +2Single-language instructions
- +3Description length 192: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 78 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.