Borrowing it
Nothing to install: this file belongs to bnet47/codexicon. 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/bnet47/codexicon/main/AGENTS.mdgit clone --depth 1 https://github.com/bnet47/codexiconWrote 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/bnet47/codexicon/agents-md)<a href="https://agentmods.dev/instructions/bnet47/codexicon/agents-md"><img src="https://agentmods.dev/badge/instructions/bnet47/codexicon/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/bnet47/codexicon/agents-md"><img src="https://agentmods.dev/badge/instructions/bnet47/codexicon/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 | $0.01527 | $0.01527 |
| Opus 5.5 | $0.00611 | $0.00611 |
| Sonnet 5.5 | $0.00305 | $0.00305 |
| Haiku 4.5 | $0.00153 | $0.00153 |
Grade C, and why
codexicon AGENTS.md scanned grade C with 1 finding 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.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
- Never read or write credential-bearing `.env` / `.env.*` files (except `.env.example`), `secrets/**`, private-key files, credential JSON, or user credential stores such as `.npmrc`, `.netrc`, `.aws/credentials`, `.ssh/ How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Codexicon
Durable repository guidance for Codex. Keep this file short; detailed workflows belong in skills and project facts belong in
agent_docs/.
Project
- Name: Codexicon
- Purpose: Portable local-first template and manager for inspectable, verified agent-driven development.
- Stack: Python 3.10+ · Markdown/TOML/JSON · filesystem state · local checkout and GitHub Actions
- Phase: production
- Owner: bnet47
Use $discover to create or amend the root SPEC.md before making product or stack decisions. Only consequential unresolved decisions may pause the work.
Commands
Run commands from the repository root.
./scripts/setup.sh # install dependencies and prepare local config
./scripts/dev.sh # start the local development environment
./scripts/lint.sh # lint, format-check, and type-check
./scripts/lint.sh --fix # apply safe lint/format fixes
./scripts/test.sh # run the full test suite
./scripts/security.sh # scan tracked/non-ignored safe files for credentials
python scripts/codexicon.py doctor # diagnose harness/configuration drift
python scripts/codexicon.py verify # run lint, tests, and security in canonical order
./scripts/deploy.sh staging # deploy to staging
./scripts/deploy.sh prod # production; requires DEPLOY_APPROVED=true
Before initialization, native Windows can run ./scripts/lint.ps1 and ./scripts/test.ps1. $init must create equivalent native wrappers or platform-neutral commands for every command the configured project supports; do not silently substitute weaker verification.
Working agreements
- Start from the requested outcome and done conditions. Inspect first; preserve unrelated changes.
- Build is autonomous by default: inspect, plan, implement, verify, critique, refine, and continue through the root
TASKS.mdwithout routine approval prompts or suggested-next-prompt stops while work is runnable. Make reversible assumptions and record consequential ones; batch genuinely blocking questions. - Use
$autonomous-buildfor multi-task work. Use$engineering-looponly for independent read-only research or review. Keep small clear changes direct. - Use
$find-skillsonly for an explicit capability search. External skill discovery is read-only until the user approves a reviewed, pinned, project-local installation. - Prefer the smallest complete solution. Use
rgfor search andapply_patchfor manual edits. - Load only relevant context. Use targeted commands and bounded output; do not dump whole logs, generated files, or minified content when an excerpt proves the point.
- Communicate densely: no request restatement, filler, or repeated summary. Preserve exact code, commands, paths, identifiers, and errors. Clarity wins for risk or ambiguity.
- Verify proportionally: full lint/tests for code, config, generated artifacts, and shipping; security before Git publication; applicable structural checks for documentation-only work.
- Report commands, results, and anything not verified.
- Record consequential assumptions and decisions as new append-only records in
agent_docs/decisions/, including rationale, alternatives, impact, owner, date, status, and evidence. - Related scope may expand only for a small, reversible, directly related change within the declared system boundary; explicitly escalate authority, product behavior, schema/data shape, security posture, irreversible or destructive outcomes, credentials, production actions, migrations, external writes, publication, deployment, legal/compliance commitments, or material architecture changes.
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 · +2 lines · +144 tokens per session 09b0115fa696
- 1mo ago Changed · +43 tokens per session ec0306b49ba7
- 1mo ago Changed · +1 lines · +11 tokens per session f2c107bcd072
- 1mo ago First seen · 94 lines · 1,329 tokens per session scan C c9cb06b04076
codexicon AGENTS.md is an instructions file published in the GitHub repository bnet47/codexicon (5 stars, last pushed 3d ago), licensed MIT. It adds 1,527 tokens to every session, about $0.0061 per session on Opus 5.5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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.