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/larsboes/axon/agents-mdgit clone --depth 1 https://github.com/larsboes/AxonWrote 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/larsboes/axon/agents-md)<a href="https://agentmods.dev/instructions/larsboes/axon/agents-md"><img src="https://agentmods.dev/badge/instructions/larsboes/axon/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 | $0.00496 | $0.00496 |
| Opus 5 | $0.00248 | $0.00248 |
| Sonnet 5 | $0.00099 | $0.00099 |
| Haiku 4.5 | $0.00050 | $0.00050 |
Grade A, and why
Axon 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 — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Axon agent bootstrap
For Axon operations, run axon help or axon search <task> before browsing files. For Axon
repository changes, follow this file's data-boundary, repository, and GitHub workflow rules. Use
Graphify only as optional symbol-level drill-down after bounded Axon context is available.
Before editing, run git status --short --branch and tools/doctor. Preserve unrelated worktree
changes. Derive capabilities, ports, health, open claims and architecture from Axon tools, the owning
ISA.md and live metadata rather than remembered prose.
Host requirements are scoped to what a machine actually does. After changing a machine's enabled
capabilities, re-run tools/toolchain-check — the requirement set is derived from that list, so it
moves with it. Before invoking a backup, restore, audit or build, run
tools/toolchain-check --workflow <name> first: a missing dependency found afterwards is one found
with a service already held down.
Keep public code and doctrine in Axon. Keep private values, machine state and secrets in the active overlay or Vaultwarden. Never generate, expose or change a secret without explicit authorization.
graphify
This project has a knowledge graph at graphify-out/ with god nodes, community structure, and cross-file relationships.
When the user types /graphify, use the installed graphify skill or instructions before doing anything else.
Rules:
- For codebase questions, first run
graphify query "<question>"when graphify-out/graph.json exists. Usegraphify path "<A>" "<B>"for relationships andgraphify explain "<concept>"for focused concepts. These return a scoped subgraph, usually much smaller than GRAPH_REPORT.md or raw grep output. - Dirty graphify-out/ files are expected after hooks or incremental updates; dirty graph files are not a reason to skip graphify. Only skip graphify if the task is about stale or incorrect graph output, or the user explicitly says not to use it.
- If graphify-out/wiki/index.md exists, use it for broad navigation instead of raw source browsing.
- Read graphify-out/GRAPH_REPORT.md only for broad architecture review or when query/path/explain do not surface enough context.
- After modifying code, run
graphify update .to keep the graph current (AST-only, no API cost).
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 · 32 lines · 496 tokens per session scan A a2e34df7c72c
Axon AGENTS.md is an instructions file published in the GitHub repository larsboes/Axon (1 stars, last pushed yesterday), licensed MIT. It adds 496 tokens to every session, about $0.0025 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
gini-agent AGENTS.md
AGENTS.md instructions for Open-Curiosity/gini-agent, covering gini agent instructions, shape, adrs, boundaries and branches.
plur CLAUDE.md
Claude Code instructions for plur-ai/plur, covering claude.md, what is plur, development, package dependency and version bumps.
barkeep AGENTS.md
AGENTS.md instructions for iannuttall/barkeep, covering agent notes, product rules, repo map, commands and app structure.
blz AGENTS.md
Instructions for outfitter-dev/blz, covering blz repository instructions for ai agents, important, working memory, use blz and 🚀 quick start for agents.
linggen CLAUDE.md
Claude Code instructions for linggen/linggen, covering claude.md, doc and spec, build, test, run, architecture and configuration.
CrewClaw AGENTS.md
Instructions for staruhub/CrewClaw, covering agents.md, project, boundaries (charter, 2026-07-10), commands and employee package rules.