Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/serejaris/personal-corp-osnpx agentmods add skills/serejaris/personal-corp-os/retroWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/serejaris/personal-corp-os/retro)<a href="https://agentmods.dev/skills/serejaris/personal-corp-os/retro"><img src="https://agentmods.dev/badge/skills/serejaris/personal-corp-os/retro/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/serejaris/personal-corp-os/retro"><img src="https://agentmods.dev/badge/skills/serejaris/personal-corp-os/retro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00075 | $0.00862 |
| Opus 5.5 | $0.00030 | $0.00345 |
| Sonnet 5.5 | $0.00015 | $0.00172 |
| Haiku 4.5 | $0.00007 | $0.00086 |
Grade A, and why
retro scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 27d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Retro
Запускается из штаба. Смотрит назад на неделю по задачам всех отделов.
Правило данных
Каждый запуск читает файлы задач заново. Своей копии задач не держи и неделю из памяти чата не восстанавливай. Файл ретро это срез со ссылками, источник правды остаётся в задачах отделов.
Шаги
- Определи текущую ISO-неделю и её даты из системного времени. Если человек назвал другую неделю, возьми её.
- Прочитай файл правил штаба (
CLAUDE.mdилиAGENTS.md). Найди строки, где лежат задачи отделов, например:Обучение: ../corp-learn. Задачи отдела лежат в ../corp-learn/tasks/. - Если таких строк нет, остановись. Скажи, что в правилах штаба не указано, где лежат задачи отделов, и предложи дописать по строке на отдел в формате выше. Пути не угадывай.
- Для каждого отдела прочитай его файл правил и задачи:
- локальные файлы:
tasks/*.md, кромеREADME.mdи_template.md; - внешний источник (например GitHub Issues через
gh): читай оттуда, если доступно; - если источник недоступен, запомни отдел как «не прочитано» с причиной.
- локальные файлы:
- Если задач нет ни в одном отделе, остановись: фактов для ретро недостаточно.
- Разложи задачи недели:
- «Сделано»: статус «принято», дата приёмки внутри недели;
- «Застряло»: заблокированные, просроченные, без движения всю неделю;
- «Снято»: снятые на этой неделе, с причиной.
- Найди повторы: один и тот же блокер, одинаковый тип работы или одно решение человека, которое ждут несколько задач. Повтор это минимум два случая, иначе не пиши.
- Запиши файл
tasks/retro-<ГГГГ>-W<NN>.mdв штабе. Если папкиtasks/нет, создай её.
Файл ретро
# Ретро <ГГГГ>-W<NN> · <дата начала>..<дата конца>
## Сделано
- <отдел> · <задача>: <результат> · [файл](../../corp-learn/tasks/<файл>.md)
## Застряло
- <отдел> · <задача>: <блокер или с какой даты стоит> · <ссылка>
## Снято
- <отдел> · <задача>: <причина> · <ссылка>
## Повторяется
- <что повторяется>: <ссылки на 2+ задачи>
## Не прочитано
- <отдел>: <причина>
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 27d ago Changed · -48 lines · +36 tokens per session b228e66115e6
- 1mo ago First seen · 114 lines · 39 tokens per session scan A 0bd59b35c83e
retro is a skill published in the GitHub repository serejaris/personal-corp-os (238 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 862 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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