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/msiccdev/ai-context-kit/agents-mdgit clone --depth 1 https://github.com/MSiccDev/ai-context-kitWhat 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 | $0.02380 | $0.02380 |
| Opus 5 | $0.01190 | $0.01190 |
| Sonnet 5 | $0.00476 | $0.00476 |
| Haiku 4.5 | $0.00238 | $0.00238 |
Grade A, and why
ai-context-kit 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 2d 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 — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Context Kit Agent Guide
Purpose
AI Context Kit is a cross-provider instruction-layer repository for context-aware AI collaboration.
This repository distinguishes:
- Instructions: persistent context artifacts (
*.instructions.mdfor user context andAGENTS.mdfor project context) that define who the user is, what the project is, and how collaboration should run. - Prompts/queries: day-to-day requests made inside that instructed environment.
Source Of Truth And Precedence
Use this order when files differ:
- Specification (authoritative, v1.4.3):
specs/context_aware_ai_session_spec.md - Templates (canonical structures):
templates/*.instructions.mdandtemplates/skill_template/SKILL.md - Skills (canonical operational workflows):
skills/*/SKILL.mdand skill-local references - Prompts:
prompts/skills/*.prompt.md(compatibility wrappers — must defer detailed logic to skills);prompts/loop/*.prompt.md(implementation loop steps — self-contained workflow prompts) - Samples and validation artifacts (illustrative records):
usercontexts/*.instructions.md, related*.validation.md
Repository Map
| Path | Purpose |
|---|---|
specs/ |
Normative session-model specification and terminology |
templates/ |
Canonical instruction templates aligned to the spec |
skills/ |
Canonical workflow skills (SKILL.md folders) and skill-local resources |
prompts/skills/ |
Compatibility wrappers that route workflows to canonical skills |
prompts/loop/ |
Numbered step prompts for the implementation loop (readiness-check → implementation → self-review → learnings → human-in-the-loop); invoke in order, learnings is optional |
usercontexts/ |
User-context instruction examples and validation reports |
Scope And Precedence For AGENTS.md Files
- An
AGENTS.mdfile applies to the directory it is in and all subdirectories. - If multiple
AGENTS.mdfiles apply, the closest (deepest) one wins for files in its subtree. - Keep root
AGENTS.mdglobal and nestedAGENTS.mdfiles folder-specific. - If instructions conflict or remain unclear after precedence, ask before proceeding.
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.
- 2d ago First seen · 222 lines · 2,380 tokens per session scan A ad2e02021a6c
ai-context-kit AGENTS.md is an instructions file published in the GitHub repository MSiccDev/ai-context-kit (12 stars, last pushed 4d ago), licensed MIT. It adds 2,380 tokens to every session, about $0.0119 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.
Other instructions, from other repositories
puppyone AGENTS.md
Instructions for puppyone-ai/puppyone, covering puppyone (contextbase), connect, collaborate, platform and active development directories.
puppyone CLAUDE.md
Instructions for puppyone-ai/puppyone: 项目文档和开发规范请参阅 AGENTS.md，此文件为唯一 source of truth。.
structured-context-spec CLAUDE.md
Instructions for tim-mccrimmon/structured-context-spec, covering claude.md, structured context specification (scs) — project context, what this project is, repository structure and tools & development commands.
generator CLAUDE.md
Instructions for context-hub/generator, covering claude.md, project overview, development commands, primary commands and development & testing.
colin CLAUDE.md
Claude Code instructions for PrefectHQ/colin, covering colin development guidelines, required development workflow, documentation requirements, user-facing documentation (docs/) and docs/architecture.md.
colin AGENTS.md
AGENTS.md instructions for PrefectHQ/colin, a project described as: A context engine that treats skills as software.