Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/fqmyysjjd/agent-feed/agents-mdgit clone --depth 1 https://github.com/fqmyysjjd/agent-feedWrote 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/fqmyysjjd/agent-feed/agents-md)<a href="https://agentmods.dev/instructions/fqmyysjjd/agent-feed/agents-md"><img src="https://agentmods.dev/badge/instructions/fqmyysjjd/agent-feed/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 | $0.01945 | $0.01945 |
| Opus 5 | $0.00972 | $0.00972 |
| Sonnet 5 | $0.00389 | $0.00389 |
| Haiku 4.5 | $0.00194 | $0.00194 |
Grade A, and why
agent-feed 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-feed AI Development Instructions
AGENTS.md is the repository-level entry contract for AI-assisted development.
It defines how an AI assistant should enter the project, resolve rule priority, route work to the right .agents/ asset, and stop when the requested result is reached. It is not a product specification, user-facing behavior rule, or a place for detailed workflows.
Startup Policy
Use full startup only when the AI session is new, context compression occurred or is suspected, the current task boundary cannot be recovered, or the task shifts into design, implementation, fix, review, or protocol work.
For same-session continuation with a clear task boundary, use the light resume path in .agents/rules/context-loading.md: re-read .agents/rules/outcome-boundary.md, then load only the rule, project, domain, or skill file needed for the next action.
During full startup, read:
.agents/rules/outcome-boundary.md.agents/rules/decision-gates.md.agents/rules/context-loading.md.agents/rules/session-state.md.agents/rules/testing-gates.md.agents/README.md.agents/skills/README.md.agents/project/README.md.agents/domain/README.md.agents/skills/project-architecture/SKILL.md.agents/skills/project-development/SKILL.md
Before continuing any design, implementation, review, or fix task, recover the current task result boundary and Task Brief from .agents/rules/outcome-boundary.md.
For long-running or multi-turn work, read or update .agents/session-state/<session_id>.json according to .agents/rules/session-state.md when losing active conclusions could dilute direction, constraints, or next actions after context compression.
Rule Priority
Apply guidance in this order:
- Current user request and confirmed task boundary, after reconciling them with non-negotiable project constraints.
.agents/rules/outcome-boundary.md..agents/rules/decision-gates.mdfor unconfirmed choices that affect future results..agents/rules/context-loading.mdand.agents/rules/session-state.md..agents/rules/testing-gates.mdfor verification and test evidence.- Other stable rules under
.agents/rules/. - User-maintained repository-specific constraints indexed by
.agents/project/README.md. - Stable domain context under
.agents/domain/. - Task workflows indexed by
.agents/skills/README.mdand implemented under.agents/skills/. - Protocol helper scripts under
.agents/scripts/. - Optional specialist profiles under
.agents/agents/.
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 First seen · 91 lines · 1,945 tokens per session scan A 84af9d82adb3
agent-feed AGENTS.md is an instructions file published in the GitHub repository fqmyysjjd/agent-feed (4 stars, last pushed 3mo ago), licensed MIT. It adds 1,945 tokens to every session, about $0.0097 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.
Other instructions, from other repositories
Arcgentic CLAUDE.md
Claude Code instructions for Arch1eSUN/Arcgentic, covering arcgentic v0.2.0 — dev session handoff, 1. identity, 2. not-this (boundary), 3. where you are (state as of handoff) and files to be created (v0.2.0 p0 scope, per spec § 18).
coco-workflow CLAUDE.md
Instructions for skullninja/coco-workflow, covering claude.md -- coco, project overview, architecture, key files and tracker (lib/tracker.sh).
agentsmd AGENTS.md
AGENTS.md instructions for daichunghy/agentsmd, covering agents.md, setup, build, test and conventions.
ai-auto-work CLAUDE.md
Claude Code instructions for chaohong-ai/ai-auto-work, covering gamemaker - ai native 游戏创作平台, 项目简介, ai 工作目录约定 and 按需加载（不默认装载）.
cc-agents-md CLAUDE.md
Claude Code instructions for GeiserX/cc-agents-md, covering claude.md — cc-agents-md, tech stack, development, install dependencies and run tests.
loop-lang CLAUDE.md
Claude Code instructions for tickets-forge-dev/loop-lang: This repo uses Loop — a small natural-language DSL for self-correcting, human-gated coding workflows. First time you touch Loop in this repo, read AGENTS.md end to end before authoring or running anything — it's the full, current grammar that ships with the…