Borrowing it
Nothing to install: this file belongs to sysevol-ai/CodeNib. 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/sysevol-ai/CodeNib/main/AGENTS.mdgit clone --depth 1 https://github.com/sysevol-ai/CodeNibWrote 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/sysevol-ai/codenib/agents-md)<a href="https://agentmods.dev/instructions/sysevol-ai/codenib/agents-md"><img src="https://agentmods.dev/badge/instructions/sysevol-ai/codenib/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/sysevol-ai/codenib/agents-md"><img src="https://agentmods.dev/badge/instructions/sysevol-ai/codenib/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 | $0.04812 | $0.04812 |
| Opus 5.5 | $0.01925 | $0.01925 |
| Sonnet 5.5 | $0.00962 | $0.00962 |
| Haiku 4.5 | $0.00481 | $0.00481 |
Grade A, and why
CodeNib 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 — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
CodeNib is a Python 3.10+ code analysis agent with tree-sitter chunking, semantic graph construction, hybrid retrieval, and MCP-facing search tools. Use this file as the repo-level contract for Codex and other code agents.
Layered Objectives
Work in this order unless the user gives a narrower task:
- Protect
main: do not merge draft PRs, PRs with unresolved code failures, or stacked PRs whose dependency chain is not clear. - Make changes reviewable: keep commits focused, preserve existing ownership boundaries, and avoid unrelated refactors.
- Verify the changed surface: run the smallest relevant test first, then widen to the job or marker tier that matches the risk.
- Keep stacked work coherent: merge or rebase dependencies before dependents, and re-check diffs after a base branch changes.
- Codify repeated feedback here or in the nearest directory-specific rules file so future agents do not repeat the same mistake.
For broad multi-step work, keep an explicit layered goal active until the requested surface is implemented, locally verified, documented, and reconciled with relevant PRs/issues. Do not mark a broad goal complete just because a single subgoal landed. Prefer local targeted verification and continued implementation over waiting on slow remote CI; run the remote/slow tier after the merge queue or feature batch is otherwise coherent. Update each milestone's outcomes and open gates in the PR that changes them; an update only on a parallel branch does not keep that PR's roadmap current.
For the current multi-language SCIP cold-start and acceleration program, use
docs/scip_multilanguage_roadmap.md as the durable objective record. Update it
whenever a backend is promoted, a C++ acceleration gate changes, or a related
issue/PR is closed.
For the storage boundary and the time-bounded hybrid-index experiment, use
docs/storage_backend_roadmap.md as the durable objective record. Update it
whenever the Wiki database boundary changes, an experiment gate changes, or a
related issue or PR is reconciled.
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 · +10 lines · +147 tokens per session f07431edf63f
- yesterday Changed · +8 lines · +101 tokens per session 6a853f0de43e
- 8d ago Changed · +82 lines · +1,130 tokens per session 3d4576bc0068
- 1mo ago Changed · +22 lines · +304 tokens per session df23b2eb237d
- 1mo ago Changed · +5 lines · +73 tokens per session dc9e7447ba85
- 1mo ago Changed · +14 lines · +213 tokens per session 8ef9e64f2173
- 1mo ago Changed · +3 lines · +41 tokens per session d0658f68261a
- 1mo ago Changed · +7 lines · +101 tokens per session 5b4fd3090f01
- 1mo ago Changed · +14 lines · +251 tokens per session 9dfbfae1764b
- 1mo ago First seen · 193 lines · 2,451 tokens per session scan A f9452e59e4b1
CodeNib AGENTS.md is an instructions file published in the GitHub repository sysevol-ai/CodeNib (89 stars, last pushed today), licensed Apache-2.0. It adds 4,812 tokens to every session, about $0.0192 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.