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CC voice-post-call

Post-call handling for a voice session — turn the transcript into a brain page, post the summary to the operator's messaging surface, archive the audio. The pipeline is the contract; the firing paths are operator-wired (see "Two firing paths" below for what ships today).

garrytan/gbrain Agent Skills author: garrytan MIT 1 file body ≈ 1 600 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Post-call handling for a voice session — turn the transcript into a brain page, post the summary to the operator's messaging surface, archive the audio.

As a process C 51/100 · Has gaps — References files that are not bundled: people/<slug>.md, companies/<slug>.md, ../voice-persona-mars/SKILL.md

ProcedureWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
C
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
C
51/100
Has gaps
References files that are not bundled: people/<slug>.md, companies/<slug>.md, ../voice-persona-mars/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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: people/<slug>.md
  • warning missing-ref reference to a missing file: companies/<slug>.md
  • warning missing-ref reference to a missing file: ../voice-persona-mars/SKILL.md
  • warning missing-ref reference to a missing file: ../voice-persona-venus/SKILL.md
  • warning missing-ref reference to a missing file: <url>
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "mutating"
  • note frontmatter-key unknown frontmatter key "writes_pages"
  • note frontmatter-key unknown frontmatter key "writes_to"

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: people/<slug>.md, companies/<slug>.md, ../voice-persona-mars/SKILL.md
  • 0Tools and files. 5 referenced file(s) missing: people/<slug>.md, companies/<slug>.md, ../voice-persona-mars/SKILL.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 55Failures and branches. 1 branches
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1600 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 271: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 14 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)

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