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 commands/done-0/openarche/knowledge-reindexgit clone --depth 1 https://github.com/Done-0/openarcheWrote 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/done-0/openarche/knowledge-reindex)<a href="https://agentmods.dev/commands/done-0/openarche/knowledge-reindex"><img src="https://agentmods.dev/badge/commands/done-0/openarche/knowledge-reindex.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 | $0.00009 | $0.00320 |
| Opus 5 | $0.00005 | $0.00160 |
| Sonnet 5 | $0.00002 | $0.00064 |
| Haiku 4.5 | $0.00001 | $0.00032 |
Grade A, and why
knowledge-reindex 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 3d 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
Use this command after changing any knowledge embedding provider or embedding model setting.
Treat this as a full index rebuild, not a partial patch.
Required behavior:
- Find the correct OpenArche knowledge store. Reindex the repository-local store when the user is working inside a repository-specific knowledge base. Reindex the global store when the user explicitly asks for the shared knowledge base.
- Read and validate the current config.
If the config is invalid, stop and tell the user to fix
/openarche:configfirst. - Read the existing
index.json. If the file is missing, treat it as an empty knowledge store. If the file exists but is invalid, stop and report that the index is corrupted. - For every knowledge entry in the index:
- load the matching markdown file from the same store as
index.json - keep all metadata stable except the embedding vector
- recompute the embedding from the same recall text used by the product:
title + " " + trigger_context
- load the matching markdown file from the same store as
- Write one rebuilt
index.jsonwith the updated embeddings. - Do not rename entries, do not regenerate ids, and do not rewrite unrelated metadata.
When reporting back to the user:
- describe the action as rebuilding the knowledge index
- say how many entries were re-embedded
- say which embedding provider and model were used
- report any missing knowledge markdown files explicitly instead of silently skipping them
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.
- 3d ago First seen · 33 lines · 9 tokens per session scan A d2984fb18eaa
knowledge-reindex is a command published in the GitHub repository Done-0/openarche (12 stars, last pushed 5mo ago), licensed MIT. It adds 9 tokens to every session and 320 once invoked, about $0.0000 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 2026-08-30.
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data
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index
Index this repository for local RAG search, then report which rung it is on — descriptions still to write, a promotion to apply, or nothing left.