Borrowing it
Nothing to install: this file belongs to dosco/aithy. 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/dosco/aithy/main/.claude/skills/ax-agent-context/SKILL.mdgit clone --depth 1 https://github.com/dosco/aithyWrote 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/skills/dosco/aithy/ax-agent-context)<a href="https://agentmods.dev/skills/dosco/aithy/ax-agent-context"><img src="https://agentmods.dev/badge/skills/dosco/aithy/ax-agent-context/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/skills/dosco/aithy/ax-agent-context"><img src="https://agentmods.dev/badge/skills/dosco/aithy/ax-agent-context.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 | $0.00147 | $0.00857 |
| Opus 5.5 | $0.00059 | $0.00343 |
| Sonnet 5.5 | $0.00029 | $0.00171 |
| Haiku 4.5 | $0.00015 | $0.00086 |
Grade A, and why
ax-agent-context 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 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.
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.
This is a copy
97% identical to ax-agent-context — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AxAgent Context Selection (@ax-llm/ax)
Use this skill to route a context-management need to the right AxAgent tool, then open the matching codegen skill. AxAgent manages four distinct context objects; choosing the wrong one is the usual mistake. Do not write tutorial prose; pick the tool and hand off.
Pick The Right Context Tool
| Need | Object | Scope | Use | Next skill |
|---|---|---|---|---|
| Many tasks over the same large corpus (repo, doc set, dataset) | Context map | recurring corpus, persists across runs | contextMap |
ax-agent-rlm |
| One long run whose own history must stay under control | Trajectory compaction | this run only | contextPolicy: { preset, budget } |
ax-agent-rlm |
| Evolve task strategy from examples or live feedback | Context playbook | a stage, offline + online | agent.playbook(...) |
ax-agent-optimize |
| Tune the prompt/instructions/demos offline | Instruction text | a program, offline | agent.optimize(...) (GEPA) |
ax-agent-optimize |
| Pull task-relevant facts or guides for a turn | Retrieval | one turn | recall(...) / skills |
ax-agent-memory-skills |
Defaults
- Recurring corpus + many different questions ->
contextMap(persistent orientation cache). - One long multi-turn run with prompt pressure ->
contextPolicy: { preset: 'checkpointed', budget: 'balanced' }; move toleanfor very long runs with strong models,fullfor short tasks or weak models. - Evolve a context playbook ->
agent.playbook(...)(offline from examples, or online from live feedback). - Tune instructions/demos offline ->
agent.optimize(...)(GEPA). - Fetch facts or guides on demand ->
recall(...)for memories,discover({ skills })for skill guides. - A single oversized input value (a pasted doc, a big JSON blob) -> do nothing;
autoUpgrade(ON by default) keeps it runtime-only with a prompt preview. Reach forcontextFieldsonly when you want a specific inline policy or the value is a large required non-string field. Seeax-agent-rlm.
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 fe26462fe20a
- 1mo ago First seen · 44 lines · 147 tokens per session scan A 754d00ece5ee
ax-agent-context is a skill published in the GitHub repository dosco/aithy (108 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 147 tokens to every session and 857 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to ax-agent-context, differing in 2 lines, and is treated as a copy.
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