Borrowing it
Nothing to install: this file belongs to katopz/katgpt-rs. 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/katopz/katgpt-rs/develop/AGENTS.mdgit clone --depth 1 https://github.com/katopz/katgpt-rsWrote 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/katopz/katgpt-rs/agents-md)<a href="https://agentmods.dev/instructions/katopz/katgpt-rs/agents-md"><img src="https://agentmods.dev/badge/instructions/katopz/katgpt-rs/agents-md.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 5.1 | $0.27838 | $0.27838 |
| Opus 5 | $0.13919 | $0.13919 |
| Sonnet 5 | $0.05568 | $0.05568 |
| Haiku 4.5 | $0.02784 | $0.02784 |
Grade A, and why
katgpt-rs 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 today.
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 — 1,489 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — katgpt-rs
The global ~/.agents/ rules apply; this file documents repo-local context
that supplements them.
Boundary contract — read BOUNDARY.md first
BOUNDARY.md is the authoritative per-repo contract: what this
repo owns, what it does not own (with the correct home for each), the
crate-granular allowlist of what it may depend on, links to the cross-repo
rules' one canonical home, and the drift ledger of known gaps. On any
conflict with prose in this file, BOUNDARY.md wins.
- Domain test: is this a modelless inference primitive with no riir dep (this repo is upstream of everything)? NO → it belongs in another repo; file there.
- Read it before adding any dep, crate, module, System impl, or vocabulary type — and before assuming a concern is yours to implement.
- Enforcement is not prose:
../riir-ai/scripts/ci_boundary_contract.shfails on an undeclared cross-repo dep, on a drift row without its open issue, and on a contract row that no longer matches the measured graph. Run boundary checks VIA theboundary-guardskill, not as ad-hoc greps. - Found a violation? File the issue FIRST (
.issues/NNN_boundary_*.md), add the drift row, then fix. Closing the issue removes the row in the same commit.
Modelless-first mandate (the core principle)
This repo ships modelless inference primitives. No training, no backprop, no gradient descent. The only weight mutations allowed at runtime are:
- Freeze/thaw — swapping a frozen snapshot (atomic, versioned, BLAKE3-checked).
- Raw/lora hot-swap — applying a deterministically constructed (not
trained) LoRA overlay via
LoraPair { reader, writer }(Plan 025). - Latent-space updates — direction-vector projections, sigmoid gates, routing tables. These update latent state, NOT base weights.
MANDATORY: exhaust modelless paths before deferring to riir-train
Before deferring ANY gate, mechanism, or plan task to riir-train ("this needs
training"), you MUST check whether the three modelless paths above can fix it.
See the research skill §3.5 (.agents/skills/research/SKILL.md) for the full
decision protocol.
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.
- today Changed · +430 lines · +9,351 tokens per session 498cac8650a1
- yesterday Changed · +174 lines · +3,476 tokens per session 65167a5eb2aa
- 2d ago Changed · +678 lines · +11,424 tokens per session 9e867665d443
- 6d ago First seen · 207 lines · 3,587 tokens per session scan A f988d86fee66
katgpt-rs AGENTS.md is an instructions file published in the GitHub repository katopz/katgpt-rs (98 stars, last pushed today), licensed MIT. It adds 27,838 tokens to every session, about $0.1392 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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