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 aka-kika/akakika-skills --skill project-catch-upgit clone --depth 1 https://github.com/aka-kika/akakika-skillsWrote 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/aka-kika/akakika-skills/project-catch-up)<a href="https://agentmods.dev/skills/aka-kika/akakika-skills/project-catch-up"><img src="https://agentmods.dev/badge/skills/aka-kika/akakika-skills/project-catch-up/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/aka-kika/akakika-skills/project-catch-up"><img src="https://agentmods.dev/badge/skills/aka-kika/akakika-skills/project-catch-up.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 | $0.00071 | $0.01519 |
| Opus 5.5 | $0.00028 | $0.00608 |
| Sonnet 5.5 | $0.00014 | $0.00304 |
| Haiku 4.5 | $0.00007 | $0.00152 |
Grade A, and why
project-catch-up 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 1mo 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Catch-Up
Where this fits
Part of the same workflow as:
- explain-new-project →
PROJECT_GUIDE.md - project-worth-my-time →
PROJECT_VERDICT.md(optional) - This skill →
PROJECT_CATCH_UP.md— run when you come back to a project so you do not rebuild what already exists or miss breaking updates
Same audience as explain-new-project: self-taught, plain language, Learn: for jargon, language matches the user's chat.
When invoked
- Confirm project root.
- Read
PROJECT_GUIDE.mdif present; else README + lockfile/manifest to list the stack (frameworks, major packages, hosting, AI tools). - Pieces MCP (try once) — when did the user last touch this project? (see below). Skip judgment if unavailable.
- Web research (required) — search for news since a sensible window (see Research window).
- Write the report from the template; cite sources with links where possible.
- Always save
PROJECT_CATCH_UP.mdat the project root (overwrite if present). - In chat: show Before you code + Headline in full; one line points to the file for the full list.
Research window
| Situation | Search focus |
|---|---|
| User says how long they were away | Changes since that period |
| Pieces shows last activity date | Roughly from that date to today |
| Unknown | Last 6 months for major stack items; 12 months for agent skills / MCP ecosystem |
Prefer official sources: release notes, migration guides, docs, GitHub releases. Avoid rumor blogs.
Stack inventory (from the repo)
Extract a short list before searching—example fields:
- Runtime: Node 22, Python 3.12, Swift 6
- Framework: Next.js 15, Vite, Expo, SwiftUI
- Data/auth: Supabase, Prisma, Firebase
- Deploy: Vercel, Cloudflare
- AI/agent: coding agent in use, specific MCP servers in the agent's config (e.g.
.cursor/,.codex/,.mcp.json) or docs
What ships with it
1 file 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.
- 1mo ago First seen · 185 lines · 71 tokens per session scan A 14f309f1fde5
project-catch-up is a skill published in the GitHub repository aka-kika/akakika-skills (11 stars, last pushed yesterday), licensed MIT. It adds 71 tokens to every session and 1,519 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 2026-08-31.
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