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.
git clone --depth 1 https://github.com/vouchdev/vouchWrote 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/commands/vouchdev/vouch/vouch-remember)<a href="https://agentmods.dev/commands/vouchdev/vouch/vouch-remember"><img src="https://agentmods.dev/badge/commands/vouchdev/vouch/vouch-remember/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/commands/vouchdev/vouch/vouch-remember"><img src="https://agentmods.dev/badge/commands/vouchdev/vouch/vouch-remember.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00014 | $0.00232 |
| Opus 5.5 | $0.00006 | $0.00093 |
| Sonnet 5.5 | $0.00003 | $0.00046 |
| Haiku 4.5 | $0.00001 | $0.00023 |
Grade A, and why
vouch-remember scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/vouch-remember
Turn "$ARGUMENTS" into durable KB knowledge — proposed, never self-approved.
Steps:
- Call
kb_register_sourcewith the user's exact wording ascontent(source_type: "message", a short descriptivetitle). Sources are evidence intake; registering one writes no knowledge. - Distill the durable fact(s) into one
kb_propose_claimeach, citing the registered source id inevidence. Keep each claim one sentence, present tense, self-contained. - If the fact is about a person, org, or project the KB doesn't know yet,
also file
kb_propose_entity(andkb_propose_relationto link it). - Report the proposal id(s) and remind the user: pending items are invisible
to retrieval until a human runs
vouch approve <id>orvouch review.
Never call kb_approve — the human at the gate decides what the KB believes.
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.
- 2mo ago First seen · 23 lines · 14 tokens per session scan A 534667af10ca
vouch-remember is a command published in the GitHub repository vouchdev/vouch (64 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 232 once invoked, about $0.0001 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.
Other commands, from other repositories
reflect
Deep reflection. Creates journal entry.
memory-gc
Inspect or rotate hunt-memory JSONL files (audit.jsonl, patterns.jsonl, journal.jsonl). Caps file size and keeps N rotated backups so memory does not grow unbounded.
pickup
Pick up a previous hunt on a target — shows hunt history, untested endpoints, and memory-informed suggestions. Usage: /pickup target.com.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.