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/anthonysuherli/br8n/capturenpx skills add anthonysuherli/br8n --skill capturegit clone --depth 1 https://github.com/anthonysuherli/br8nWrote 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/anthonysuherli/br8n/capture)<a href="https://agentmods.dev/skills/anthonysuherli/br8n/capture"><img src="https://agentmods.dev/badge/skills/anthonysuherli/br8n/capture.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 5.1 | $0.00090 | $0.01784 |
| Opus 5 | $0.00045 | $0.00892 |
| Sonnet 5 | $0.00018 | $0.00357 |
| Haiku 4.5 | $0.00009 | $0.00178 |
Grade A, and why
capture 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 6d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
br8n — Capture
Persist a workspace snapshot so a later /br8n:pickup can replay it. The snapshot
becomes a Finding in the repo+branch KB. The load-bearing field is the
hypothesis — a one-line statement of current intent; it makes recovery 3–5×
faster, so always try to fill it.
Capture is multi-session: it snapshots the current session inline (Steps 0–3),
then in the background sweeps every other live Claude Code session and snapshots
each distinct repo+branch too (Step 4). So one /br8n:capture checkpoints all your
concurrent work at once, not just the window you're in.
Step 0 — Resolve target
project = git repo basename, kb = git branch
(see ../_shared/preamble-first.md). No prior tap
needed — capture is a pure write.
Step 1 — Gather workspace state
Collect from the environment (skip any that fail — all are optional except trigger and captured_at):
git rev-parse --show-toplevel # project_path / repo
git branch --show-current # branch
git diff --stat # git_diff_stat
captured_at— current ISO-8601 timestamp.trigger—"manual"for a user-invoked capture (other values:blur,checkout,idle,note).cursor_file/cursor_line/open_files— from the user if they mention what they're editing; otherwise omit.terminal_tail— last relevant command output if the user pastes it.
Step 2 — Write the hypothesis, then capture
If the user gave intent ("I'm tracking down the auth race"), use it verbatim as
hypothesis. If not, infer one from the diff stat + recent conversation and
confirm it in one line before saving — a wrong hypothesis is worse than none.
Also fill next_action — the single ~two-minute step future-you should do
first (e.g. "rerun the failing test_auth.py", "finish the TODO in adapter.py:49").
If the user stated one, use it verbatim; otherwise infer it from the diff and
conversation. Concrete and immediately startable — a command to run or a file:line
to open, never a project-sized goal. Do not ask the user for it.
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.
- 6d ago First seen · 147 lines · 90 tokens per session scan A 320eef02d67b
capture is a skill published in the GitHub repository anthonysuherli/br8n (1 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,784 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
learn
Diagnose and fix agent behavioral surfaces when the user corrects a mistake — connects to Claude native memory.
keep-the-why
Extract and preserve the reasoning code cannot explain - decisions, rejected alternatives, workarounds, incidents, constraints - plus project setup and maintainer interviews. Not for what changed (see Keep a Changelog) - only why.
search
Search the gnosis-mcp knowledge base. Keyword (default), hybrid semantic+keyword (--semantic), or git commit history (--git). Includes sanity checks and a reranker warning.
context
Load usage-weighted context from Gnosis MCP. Surfaces most-accessed docs for session startup or topic primers.
remember
Routes user requests containing "remember", "recall", "checkpoint", "session", "todo", or "where were we" to the correct OpenEmpiric (OEM) MCP tool. Use when the user wants to persist, retrieve, or contextualize knowledge from project memory.
acontext-installer
Install Acontext, Login & Init Acontext Project, Add Skill Memory to Agent.