Borrowing it
Nothing to install: this file belongs to banodoco/hivemind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/banodoco/hivemind/main/AGENTS.mdgit clone --depth 1 https://github.com/banodoco/hivemindWrote 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/instructions/banodoco/hivemind/agents-md)<a href="https://agentmods.dev/instructions/banodoco/hivemind/agents-md"><img src="https://agentmods.dev/badge/instructions/banodoco/hivemind/agents-md/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/instructions/banodoco/hivemind/agents-md"><img src="https://agentmods.dev/badge/instructions/banodoco/hivemind/agents-md.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 | $0.01228 | $0.01228 |
| Opus 5.5 | $0.00491 | $0.00491 |
| Sonnet 5.5 | $0.00246 | $0.00246 |
| Haiku 4.5 | $0.00123 | $0.00123 |
Grade A, and why
hivemind AGENTS.md 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 1mo 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hivemind — Agent Guide
What this pack provides
Hivemind is a shared knowledge corpus with a read path (public PostgREST over
message_feed, stable resources, and accepted current
resource_revisions) and a locked write path (the contribute edge function).
The seven executors search, fetch exact revisions, refresh media URLs, ingest,
and contribute from CLI, Astrid, or a skill.
hivemind.search queries message_feed and the resources/current-revision raw
relationship in parallel with per-token ILIKE predicates and ranks the merge client-side. It deliberately never
queries the unified_feed UNION view for text search — that view's
derived-table scan blows the anon role's 3s statement budget (HTTP 500 /
SQLSTATE 57014) on any multi-word or per-token OR, and a single multi-word
phrase ILIKE returns zero rows (the literal substring never occurs). Use
resources + resource_revisions for exact fetches via hivemind.get_item.
When to use each executor
| Executor | Use when … |
|---|---|
hivemind.search |
Find accepted current resources or messages by topic/keyword. Per-token raw-table matching; pending and historical revisions never rank. |
hivemind.get_item |
Fetch a full message, current resource, or exact pinned revision with reference context. |
hivemind.refresh_media |
You have a Discord message id and need fresh attachment URLs for expired Discord CDN media. |
hivemind.contribute |
You want to submit/propose/review a resource revision or record exact evidence. |
hivemind.ingest_article |
You have a URL and want to extract its text and submit it as a resource. |
hivemind.ingest_workflow |
You have a ComfyUI workflow JSON and want to index its models and structure. |
hivemind.ingest_youtube |
You have a YouTube URL and want to extract captions and submit a transcript resource. |
Flywheel loop
- Search accepted current resources and messages (
hivemind.search). - On hit — relay the answer and exact resource/revision references.
- On miss — research the raw message layer, answer the human, then submit a full cited resource revision or immutable evidence record.
- Preserve conditions, competing methods, and source custody for the next reader.
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.
- 1mo ago Changed · -69 tokens per session ab7be4a8078c
- 1mo ago First seen · 92 lines · 1,297 tokens per session scan A f87e0382d11f
hivemind AGENTS.md is an instructions file published in the GitHub repository banodoco/hivemind (73 stars, last pushed 11d ago), licensed MIT. It adds 1,228 tokens to every session, about $0.0049 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.
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