Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add kalinbogatzevski/captain-memo/plugin install captain-memoWrote 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/kalinbogatzevski/captain-memo/search)<a href="https://agentmods.dev/skills/kalinbogatzevski/captain-memo/search"><img src="https://agentmods.dev/badge/skills/kalinbogatzevski/captain-memo/search/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/kalinbogatzevski/captain-memo/search"><img src="https://agentmods.dev/badge/skills/kalinbogatzevski/captain-memo/search.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 | $0.00049 | $0.00537 |
| Opus 5 | $0.00024 | $0.00269 |
| Sonnet 5 | $0.00010 | $0.00107 |
| Haiku 4.5 | $0.00005 | $0.00054 |
Grade A, and why
search scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST http://127.0.0.1:39888/search/all \ What it actually says
Captain Memo — direct search
When the user invokes this skill, they want a direct hybrid search against Captain Memo's local index. Don't reason about it — just run it.
What to do
- Take the user's argument as the query string (everything after
/captain-memo:search). - Run this Bash command and show the user the formatted result:
curl -s -X POST http://127.0.0.1:39888/search/all \
-H 'content-type: application/json' \
-d "$(jq -nc --arg q "<USER_QUERY>" '{query: $q, top_k: 5}')" \
| jq -r '.results[] | "[\(.score | (. * 100 | floor) / 100)] \(.channel) · \(.title)\n doc_id: \(.doc_id)\n \(.snippet[0:200])\n"'
Replace <USER_QUERY> with the actual query the user provided. Use jq -nc --arg q ... to safely quote the query (avoids shell injection on special characters).
Format the output as
3 hits for "the user's query":
[0.94] memory · feedback_no_clone_smy_in_cli_smoke
doc_id: memory:feedback_no_clone_smy_in_cli_smoke:abc1234
In the multi-tenant ERP at /home/kalin/projects/erp-platform/, do NOT use this pattern in CLI smoke tests…
[0.87] memory · feedback_iron_backend_dynamic_promos
doc_id: memory:feedback_iron_backend_dynamic_promos:def5678
…
[0.82] observation · 2026-04-30 · "Fix off-by-one in pro-ration loop"
doc_id: observation:1700000000:ghi9012
…
Tip the user: they can run /captain-memo:recall <doc_id> to fetch the full content of any hit.
On error
- Worker returns 503 / not reachable: tell the user
captain-memo doctorto diagnose - Empty results: say "no hits — try a more specific query, or check
captain-memo statsto confirm the corpus is indexed"
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.
- 9d ago First seen · 48 lines · 49 tokens per session scan A 43f15f31b1f4
search is a skill published in the GitHub repository kalinbogatzevski/captain-memo (3 stars, last pushed 5d ago), licensed Apache-2.0. It adds 49 tokens to every session and 537 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
memem-mine
Opt in to memem's event-triggered mining. New sessions are mined automatically via the Stop hook.
knowledge-base
Build and maintain a company knowledge base as a wiki of interlinked markdown notes in the workspace — a private, compounding Wikipedia. Use when the user wants to start or organize a knowledge base / wiki, ingest sources (URLs, documents, pasted notes) into it, ask questions answered from it, or audit (lint) it.…
forget
Delete a Wenlan memory by exact id from Codex. Destructive and confirmation gated. Invoked as /forget .
vault-for-llm
Connect OpenClaw to Vault Agent Memory as a local-first governed project memory layer. Search first, then bounded-read cited source ranges; propose new memories as candidates instead of writing directly into active memory.
skills
Your next session starts cold. No memory of what you built, what broke, what you decided. Every memory you write is a gift to that future session. The richer the memory, the less time re-learning.
memem-welcome
Re-show the full memem welcome screen regardless of whether the user has seen it before. Use when the user wants to see the intro, tutorial, or welcome again.