SKILLEMALL.ai

BD pachca-messaging

Писать в Пачку: разметка, упоминания, куда писать (тред, ответ с цитатой, личный чат), черновик, который отправит сотрудник, пост об изменениях, отложенные и регулярные сообщения в чат, файлы, пересылка, реакции, закрепление, «Важное», правка, удаление, поиск нужного сообщения, когда сначала спросить, лимиты. Когда: «напиши в чат», «отправь сообщение», «ответь в треде», «напиши в личку», «упомяни», «подготовь черновик, я отправлю сам», «напиши пост об изменениях», «запланируй сообщение», «напоминай в канал каждый понедельник», «отправь отчёт файлом .md», «перешли сообщение», «поставь реакцию», «закрепи сообщение», «отметь как важное», «исправь сообщение», "send a message", "reply in the thread", "DM someone", "draft for me to send", "schedule a message", "pin". Not for: search or summaries as the goal, a reminder for an employee → pachca-search; watch a thread, wait for replies → pachca-watch-thread; buttons, forms, clicks → pachca-bots; an AI agent as a bot → pachca-ai-agent; uploads from code → pachca-api.

pachca/openapi Agent Skills author: pachca 4 files body ≈ 8 275 tokens Open the sourcegithub.com↗ analyzed 5 h ago

Писать в Пачку: разметка, упоминания, куда писать (тред, ответ с цитатой, личный чат), черновик, который отправит сотрудник, пост об изменениях, отложенные и…

As a process D 45/100 · Unfinished process — References files that are not bundled: references/threads.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
D
45/100
Unfinished process
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
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: openapi

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 ≈ 8275 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/threads.md

Process rating: all ten parameters 45/100

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
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Execution cost. Instruction body is 8275 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 85Steps. 41 steps, 1 vague phrases
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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

  • +3Description length 1023: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +5Description quotes 21 example trigger phrases
  • +4Description says when NOT to use the skill
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +2Bilingual instructions (RU + EN)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.