Borrowing it
Nothing to install: this file belongs to richfrem/agent-plugins-skills. 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/richfrem/agent-plugins-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/richfrem/agent-plugins-skillsWrote 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/richfrem/agent-plugins-skills/agents-md)<a href="https://agentmods.dev/instructions/richfrem/agent-plugins-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/richfrem/agent-plugins-skills/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/richfrem/agent-plugins-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/richfrem/agent-plugins-skills/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 | $0.01985 | $0.01985 |
| Opus 5.5 | $0.00794 | $0.00794 |
| Sonnet 5.5 | $0.00397 | $0.00397 |
| Haiku 4.5 | $0.00198 | $0.00198 |
Grade A, and why
agent-plugins-skills 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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- agent-plugins-skills CLAUDE.md — 100% identical, 115 lines differ
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Behavioral guidelines to reduce common LLM coding mistakes. Merge with project-specific instructions as needed.
Overview
This is the authoritative instruction file for agents working in this repository. Preserve the project-specific rules below while applying behavioral guidelines and platform-specific conventions.
For local planning, backlog status, and current task handoffs, consult docs/plans/start-here.md (a local-only, gitignored planning file; if absent on fresh clones, start directly with os-control-intake).
Contents
- The Iron Laws & Critical Constraints
- Quick Start & Verification Tooling
- Governing Rules & Modular References
- Pre-Completion Verification Gate
The Iron Laws & Critical Constraints
- Adversarial Reasoning Before Agreement: No significant architecture decision, schema design, code refactor, deletion plan, or migration proposal may be accepted without an adversarial pass first. Agreement must be earned; challenge premises and identify critical assumptions.
- Destructive Action & Skill Deletion Guard:
Never delete a skill directory, its
SKILL.md, or its evals because you believe it is redundant, absorbed, consolidated, or superseded. Skill deletions are hard-gated and require explicit user instructions naming the exact path. - Cryptographic Human Gates (CIBA/RAR Lineage):
Three pipeline transitions are cryptographic: spec approval (
Gate 1), worktree exit review (Gate 3), and task closure (DONE). Only an out-of-band OpenSSH signature from a human-held key can advance them. Agents must never run signing commands, manipulate keys, or synthesize approval proofs. - Hub-First Architecture & Loose Coupling:
Shared resources reside at plugin roots (
plugins/<plugin>/scripts/, etc.) as canonical authorities and are symlinked into skill spokes viasymlink_manager.py. Installed skills in.agents/must be self-contained and dereferenced. - Verifier Sovereignty & Proposal Mode:
Implementation agents cannot modify acceptance tests, evaluation baselines, or verification scripts. Pre-execution verifier hashes are locked. In Stage 1 (
PLAN), workspace files are strictly read-only. - Config-Driven Constants Over Hardcoding:
Never introduce magic string literals or answer sequences. All domain constants must be imported from
constants.py. SQL queries must use?bind parameters. - Three-Attempt Maximum & Map Debt Logging:
Autonomous repair attempts are capped at 3. Every friction event must update the map (playbooks, rules, references), log
Status: RESOLVEDinreferences/map-debt.mdif fixed inline, or record an open debt entry if deferred. - Only Installed Skills Exist at Runtime:
plugins/is source; only what is installed in.agents/skills/and enabled in.agents/ownership/<plugin>.json(should_install: true) can run. A skill present inplugins/may be disabled on purpose (context size). Before recommending, routing to, or writing a handoff to any skill or agent, verify it is installed (ls .agents/skills/<name>,grep '"<name>"' .agents/ownership/*.json); never route through a disabled one. If the right target is disabled, say so and ask.os-control-modetoggles only the control-plane family (os-control-intake,os-control-simulator,os-control-signing-setup); it says nothing about other skills. Not every skill, rule or agent is installed at once: only what the current work needs is enabled, to save context. To enable or disable a component, setshould_installin.agents/ownership/<plugin>.json, then run the plugin sync (plugin-syncerskill:python3 plugins/plugin-manager/scripts/sync_with_inventory.py --dry-run, then without--dry-run). Sync installs from the sources inplugin-sources.json, so unmerged branch edits do not reach.agents/. Never edit.agents/copies by hand. Before working with the Agentic OS, read the Agentic OS Skill Map (what every skill does and how the clusters relate) and Two Improvement Paths (control plane vs improvement lab).
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.
- 4d ago Changed · +4 lines · +366 tokens per session d5e0a6f994d4
- 10d ago Changed · -1,464 lines · -20,232 tokens per session 67ac162f7ff4
- 15d ago Changed · +31 lines · +828 tokens per session 3bd64ea5e05c
- 29d ago Changed · +43 lines · +1,110 tokens per session 3f2baa4ac165
- 1mo ago Changed · -662 lines · -3,855 tokens per session 18ddbbca90c0
- 1mo ago Changed · +14 lines · +160 tokens per session bd3af4554af4
- 1mo ago Changed 509e15549c4d
- 1mo ago Changed · -40 tokens per session 7097d6e9aebf
- 1mo ago Changed · +8 lines · +159 tokens per session eae4b50404e2
- 1mo ago First seen · 2,141 lines · 23,489 tokens per session scan A 6482d17f4a9f
agent-plugins-skills AGENTS.md is an instructions file published in the GitHub repository richfrem/agent-plugins-skills (7 stars, last pushed yesterday), licensed MIT. It adds 1,985 tokens to every session, about $0.0079 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 2026-08-31.
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).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.