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 agentmods add skills/sysangel/brain-mcp/catchupnpx skills add sysangel/brain-mcp --skill catchupgit clone --depth 1 https://github.com/sysangel/brain-mcpWrote 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/sysangel/brain-mcp/catchup)<a href="https://agentmods.dev/skills/sysangel/brain-mcp/catchup"><img src="https://agentmods.dev/badge/skills/sysangel/brain-mcp/catchup.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00102 | $0.01265 |
| Opus 5 | $0.00051 | $0.00633 |
| Sonnet 5 | $0.00020 | $0.00253 |
| Haiku 4.5 | $0.00010 | $0.00127 |
Grade A, and why
catchup 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 2d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
catchup
Reconstruct a project's working state from the brain and hand the main session one distilled brief to act on — without spending the main window on the retrieval.
This is the DEEP path. The routine path is automatic: the brain-session-start
SessionStart hook injects memories/<project>-state.md into context at session
start (startup / --resume / post-/clear), stamped with freshness. Reach for
/catchup only when that brief is missing (no state note yet), carries the STALE
banner, or visibly disagrees with the repo — its subagent re-derives state from
the ground up (sync, ingest, recall, git cross-check), which the injection
deliberately does not do.
All the expensive legwork (sync, ingest, state-note read, recall, freshness cross-check, pointer verification) happens inside ONE subagent; the main window only holds the brief. This is the /lean discipline applied to resuming: hold the brief, never the raw recall.
1. Resolve the project
- Use the
/catchup <project>argument if given. - Else infer from the conversation topic or cwd (basename of the working dir,
e.g.
~/src/brain->brain). - If genuinely ambiguous (no arg, no clear cwd/topic), ask once, then proceed. Never silently guess between two live candidates.
- Headless (
claude -p, no user to ask): infer from cwd, proceed, and record the inference in the brief's Staleness warnings so it is auditable.
2. Spawn ONE subagent (model: opus) with this exact brief
Model opus — this is retrieval legwork (house model economy: Opus for
scoping/searching, Fable only for verification). Give the subagent this brief
verbatim, substituting <project>:
You are reconstructing the working state of the
<project>project from the brain (~/src/brain). Use Bash only — no MCP tools (the CLI always runs fresh code; a live MCP server may hold a stale schema). Run, in order:
uv run --directory ~/src/brain brain-sync pull— best-effort; on failure (offline / no remote) note "brain not synced" and continue.uv run --directory ~/src/brain brain-ingest— incremental, fast; makes episodes current through the last session.- Read
~/src/brain/memories/<project>-state.mdif it exists — the rolling state note reflect maintains. Missing → say so and fall back to digests + episodes.uv run --directory ~/src/brain brain-recall "<project> state decisions next steps", then again with--scope summaries. Fetch full text of the top 1–3 hits withbrain-recall --get <id>— snippets are too thin to brief from. Ifbrain-recallis not installed, fall back to the MCP brain tools (recall/get_episode) and note the fallback.- Cross-check freshness:
git -C ~/src/brain log -5 --onelineAND the target repo's owngit log/git status. The brain is only current through the last reflect; if the target repo moved past it, trust the repo and flag the drift.- Verify every file path and command you are about to cite still exists.
Return ONLY a distilled brief, max ~400 words, in exactly this structure:
- Task — what this project is and what we were doing.
- State — done / in-progress / blocked, each with evidence (commit hashes, verdicts, test results).
- Decisions already made — calls not to re-litigate.
- Single next action — the one concrete first step.
- Verified pointers — exact file paths / commands, each confirmed to exist.
- Staleness warnings — only if the brain lagged reality, sync failed, the state note was missing, or a pointer failed to verify. Omit if clean.
Do not return raw recall output, transcripts, or file dumps — only the brief.
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.
- 2d ago First seen · 98 lines · 102 tokens per session scan A c77734f8bebd
catchup is a skill published in the GitHub repository sysangel/brain-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 102 tokens to every session and 1,265 once invoked, about $0.0005 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 2026-08-31.
Other skills, from other repositories
ui
Use this skill when contributing to InsForge's reusable UI package. This is for maintainers editing design-system primitives, exports, styles, and package-level component behavior in the InsForge monorepo.
esm
Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel…
parse-document
Convert a PDF, scan, image of a page, or office file to clean markdown through the connected Superlinked MCP edge, so the source document is not read into model context directly. Use when the user asks to read, parse, OCR, extract from, summarize, or answer questions about a document.
superlinked-docs
Offload document, image, and structured-output work to the Superlinked inference cluster: convert PDF/DOCX/PPTX/XLSX/HTML/scans to clean markdown, describe an image (caption + tags), or produce schema/grammar-constrained JSON off the cluster — instead of ingesting the file directly, which can reduce the tokens billed…
uteke-memory
Persistent memory engine for AI agents via the uteke CLI — remember, recall, search, forget with semantic + FTS5 hybrid search, documents, knowledge graph, rooms, tiered memory, and multi-agent namespaces.
honcho-integration
Integrate Honcho memory into existing Python or TypeScript codebases. Use when adding Honcho SDK, setting up peers, configuring sessions, and accessing Honcho's representation.