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AC pachca-watch-thread

Следить за тредом Пачки и отвечать в нём, пока сессия открыта: агент узнаёт о новых сообщениях через CLI и отвечает в пределах вашей задачи. Только когда просят следить за тредом или дождаться ответа в нём. Когда: «следи за тредом», «отвечай в треде, если спросят», «спроси у коллеги в треде и дождись ответа», «веди тред, пока я работаю», "watch this thread", "reply in the thread when someone asks". Not for: a one-off reply → pachca-messaging; a retelling of a thread, its problem or remarks → pachca-search; a bot that answers in threads → pachca-ai-agent.

pachca/openapi Agent Skills author: pachca 2 files · 1 script body ≈ 3 516 tokens Open the sourcegithub.com↗ analyzed 5 h ago

Следить за тредом Пачки и отвечать в нём, пока сессия открыта: агент узнаёт о новых сообщениях через CLI и отвечает в пределах вашей задачи.

As a process C 55/100 · Has gaps — References files that are not bundled: references/threads.md

IntegrationAI and agentstype 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
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
C
55/100
Has gaps
References files that are not bundled: references/threads.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
30
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: openapi

How to improve

  1. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/threads.md

Process rating: all ten parameters 55/100

Will not run. References files that are not bundled: references/threads.md
  • 0Tools and files. 1 referenced file(s) missing: references/threads.md
  • 0Result and completion. Does not say what the result is
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 11 mutating operations with no state check
  • 70Failures and branches. 6 branches
  • 100Steps. 18 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3516 tokens
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (4 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

  • +3Output format is not stated: the model decides each time
  • +1No license
  • +5Description quotes 6 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 560: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (1 code blocks)
  • +3All 1 scripts are documented
  • +2Bilingual instructions (RU + EN)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.