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BC manager

Ведёт задачи штаба: по итогам сессии обновляет файл задачи или issue на GitHub и отвечает на вопрос „что по задаче“. Если задачи лежат в файлах, обновляет файл задачи отдела и сводку дня в штабе. Если задачи на GitHub, ищет issue во всех репозиториях, обновляет описание issue, пишет комментарий о сделанной работе, следит за parent epic, W-label и местом на доске Project, убирает закрытые задачи из плана дня и недели. Применять по: „/manager“, „синкни сессию“, „обнови issues“, „зафиксируй прогресс“, „создай issue“, „статус задачи“, „что по …“, „есть ли issue по …“, „sync session“, „track status“, „what about …“. Не применять: план дня — daily, ретро — retro.

serejaris/personal-corp-os Agent Skills author: serejaris MIT 15 files body ≈ 3 315 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Ведёт задачи штаба: по итогам сессии обновляет файл задачи или issue на GitHub и отвечает на вопрос „что по задаче“.

As a process C 64/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGitHubSoftware developmentSales and CRMtype 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
B
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
78
Run on models
none yet
Process rating
C
64/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Running it twice w 4
30
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.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token references/read-mode.md:37
    High-entropy token-like string (may be an id, hash or a credential)
    projectItems(first:10){nodes{ id project { number title } fieldValueByName(name:"Status"){ ... on Proj…lue { name } } }}

Files scanned: 15. 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")

Process rating: all ten parameters 64/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 55Failures and branches. 1 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3315 tokens
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (3 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

  • +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
  • +3Description length 665: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (11 of 11)
  • +2Bilingual instructions (RU + EN)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.