Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add serejaris/personal-corp-os --skill weekly-retrogit clone --depth 1 https://github.com/serejaris/personal-corp-osWrote 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/weekly-retro)<a href="https://agentmods.dev/skills/serejaris/personal-corp-os/weekly-retro"><img src="https://agentmods.dev/badge/skills/serejaris/personal-corp-os/weekly-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/weekly-retro"><img src="https://agentmods.dev/badge/skills/serejaris/personal-corp-os/weekly-retro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00049 | $0.05592 |
| Opus 5 | $0.00024 | $0.02796 |
| Sonnet 5 | $0.00010 | $0.01118 |
| Haiku 4.5 | $0.00005 | $0.00559 |
Grade A, and why
weekly-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 11d 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 — 444 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weekly Retro
Part of the Personal Corp framework — running a one-person business through AI agents.
Structured weekly retrospective. Gather facts from code and project management tools, interview the founder, capture findings into issues and canonical files.
Setup
Before first use, define these in your project's CLAUDE.md:
## Weekly Retro Config
### Repos to scan
List all repos the agent should check for commits:
- ~/Projects/main-app
- ~/Projects/marketing-site
- ~/Projects/docs
### GitHub owner
Your GitHub username or org for issue search:
- owner: your-github-handle
### GitHub Project ID
Project board where retro issues land:
- project_id: 7
### Canonical files (single source of truth)
Files that hold authoritative data — agent must check these before writing numbers:
- data.md — prices, revenue, historical totals
- product.md — current offers
- insights.md — strategic conclusions
### Retro log path
Where retro artifacts are saved. Two files per retro live here:
- `WNN.md` — interview log + final summary
- `WNN-outcomes.md` — outcomes scorecard (planned outcomes vs evidence)
Example:
- retro_log_path: docs/retro/
### Task routing
Map task types to repos so issues land in the right place:
| Type | Repo |
|------|------|
| Backend bugs | main-app |
| Marketing | marketing-site |
| Strategy, cross-cutting | project-brain |
### Interview topics (customize to your business)
Ordered list of areas to cover:
1. Product delivery
2. Sales / pipeline
3. Calendar events
4. New initiatives
5. Research / strategy
6. Open question
### Work Areas (customize names, goals, and colors)
Each Area is a stable responsibility lens used by retro, planning, and the living weekly page:
1. Delivery
2. Sales
3. Systems
4. Content
5. People
6. Strategy
7. Wealth (recovery habits such as sport and reflection)
No separate init skill needed — this section is the setup. Copy the config block above into your CLAUDE.md, fill in your values, and the skill is ready.
What ships with it
3 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.
- 11d ago First seen · 444 lines · 49 tokens per session scan A ade413fbedd3
weekly-retro is a skill published in the GitHub repository serejaris/personal-corp-os (225 stars, last pushed 15d ago), licensed MIT. It adds 49 tokens to every session and 5,592 once invoked, about $0.0002 per session on Opus 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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