SKILLEMALL.ai

BC meeting-minutes-taker

Transforms raw meeting transcripts into structured, evidence-based meeting minutes — merges multiple versions without losing content, reviews existing minutes against the transcript for missing items, and identifies anonymous speakers (Speaker 1/2/3, 发言人1). Triggers on 会议纪要, 会议记录, 整理纪要, 妙记转纪要, "write meeting minutes", "merge these minutes". Not for fixing ASR/STT errors first (use transcript-fixer).

daymade/claude-code-skills Claude Code author: daymade MIT 4 files body ≈ 9 675 tokens Open the sourcegithub.com↗ analyzed 11 d ago

Transforms raw meeting transcripts into structured, evidence-based meeting minutes — merges multiple versions without losing content, reviews existing minutes…

As a process C 51/100 · Has gaps — References files that are not bundled: meeting-media/..., reviewed-document

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
51/100
Has gaps
References files that are not bundled: meeting-media/..., reviewed-document
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9675 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: meeting-media/...
  • warning missing-ref reference to a missing file: reviewed-document

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: meeting-media/..., reviewed-document
  • 0Tools and files. 2 referenced file(s) missing: meeting-media/..., reviewed-document
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 9 mutating operations with no state check
  • 40Execution cost. Instruction body is 9675 tokens: crowds the task out of the window
  • 60Steps. 179 steps, 6 vague phrases
  • 60Result and completion. Output format stated, no completion criterion
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (6 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

  • -236 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 402: enough signal without eating the budget
  • +4Structure: 42 headings
  • +3Step-by-step instructions: 179 items
  • +3Output format is stated explicitly
  • +4Has examples (23 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.