Borrowing it
Nothing to install: this file belongs to tomevault-io/companyos. 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/tomevault-io/companyos/main/AGENTS.mdgit clone --depth 1 https://github.com/tomevault-io/companyosWrote 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/tomevault-io/companyos/agents-md)<a href="https://agentmods.dev/instructions/tomevault-io/companyos/agents-md"><img src="https://agentmods.dev/badge/instructions/tomevault-io/companyos/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/tomevault-io/companyos/agents-md"><img src="https://agentmods.dev/badge/instructions/tomevault-io/companyos/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 | $0.01046 | $0.01046 |
| Opus 5 | $0.00523 | $0.00523 |
| Sonnet 5 | $0.00209 | $0.00209 |
| Haiku 4.5 | $0.00105 | $0.00105 |
Grade A, and why
companyos 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 8d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operating instructions for an AI-instructed company
Root agent context. Loaded at the start of every session. Universal — works for any company. Project-specific overrides go in a sibling file your tool reads alongside this one.
What this company runs on
Three layers:
- Skills at
skills/— patterns the agent loads when the named situation arises. Don't re-invent these patterns from session memory; load the file. - A justfile at the repo root — discoverable commands for repeatable runbooks.
just --listshows the surface. - Constitutional documents in
constitutions/(operator-owned, agent-read-only) — strategy, design principles, non-goals. Agents propose amendments; operators ratify by editing the canonical file.
The three layers compose. Skills inform judgment, justfile recipes execute deterministic procedures, constitutions hold the strategic invariants. Don't conflate them.
Default behaviours
These are the defaults that operate underneath everything else. Project-specific overrides may extend or refine.
Diagnose before acting
Under operator pressure (alert pasted, "fix this", urgency), the first move is read-only investigation, not the implied fix. The pattern lives in skills/diagnose-before-acting.md. The cost of pausing is small; the cost of an obvious-wrong fix is hours.
Decision memos before non-trivial proposals
Anything cross-cutting, schema-touching, externally-visible, or where two valid approaches exist gets a memo first. Format in skills/decision-memo.md. The memo is the decision aid, not the decision.
Pre-ship adversary on every non-trivial commit
Before git commit, run the four attacks: scope creep, failure modes, rollback, shipping-gate simulation. Two-to-three minutes. skills/pre-ship-adversary.md.
Vocabulary discipline on every external string
Emails, landing copy, READMEs, CLI output, error messages. The list lives in your project's vocabulary file; the discipline lives in skills/vocabulary-check.md.
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.
- 8d ago First seen · 80 lines · 1,046 tokens per session scan A 7bfe7da50957
companyos AGENTS.md is an instructions file published in the GitHub repository tomevault-io/companyos (2 stars, last pushed 2mo ago), licensed MIT. It adds 1,046 tokens to every session, about $0.0052 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.
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