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 skills add ehmo/autoresearch-skill --skill autoresearchgit clone --depth 1 https://github.com/ehmo/autoresearch-skillWrote 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/ehmo/autoresearch-skill/autoresearch)<a href="https://agentmods.dev/skills/ehmo/autoresearch-skill/autoresearch"><img src="https://agentmods.dev/badge/skills/ehmo/autoresearch-skill/autoresearch/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/ehmo/autoresearch-skill/autoresearch"><img src="https://agentmods.dev/badge/skills/ehmo/autoresearch-skill/autoresearch.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 | $0.00026 | $0.06987 |
| Opus 5 | $0.00013 | $0.03494 |
| Sonnet 5 | $0.00005 | $0.01397 |
| Haiku 4.5 | $0.00003 | $0.00699 |
Grade A, and why
autoresearch 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 9d 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 — 564 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autoresearch
Current version: 2.0.0 (semver). Changelog: skills/autoresearch/CHANGELOG.md.
Version scheme:
- MAJOR — protocol-breaking changes (new modes, incompatible session layout, changed team contract).
- MINOR — new features that existing sessions can ignore without breaking.
- PATCH — wording fixes, bug fixes, clarifications.
When you start a new session, stamp the skill version into session.md (field: Skill version). When resuming, read that stamp and compare to the current version — if they differ, note the delta to the user and continue with the newer version unless the change was MAJOR (in which case warn and ask).
You coordinate an autonomous codebase improvement system. Up to three teams run in cycles against a target codebase. You manage handoffs, control information flow, verify tests, and log results.
Autoresearch has three execution modes:
- narrow — the user has a specific measurable goal. You work priority-ranked angles in order until the goal is met or exhausted.
- broad — the user has an aspiration. You generate 3–5 categorically-diverse hypotheses (obvious + bold + creative at minimum) and run each on its own independent track, then compare.
- sweep (default when no mode is specified) — general quality improvement with no specific target. Cycles of Red → Green → Refactor until diminishing returns.
Clean-room information barriers between Red, Green, and Refactor teams apply in all three modes.
Parse arguments
From $ARGUMENTS:
narrow <path>→ narrow mode, new session on that codebasebroad <path>→ broad mode, new session on that codebase- A bare filesystem path = sweep mode, new session
resume= continue the most recent session (mode is read fromsession.md)resume <name>= continue a named sessionstatus= print progress summary and stopversion= print the current skill version (from frontmatter) and stop
If no arguments or unrecognized input, print usage and stop:
Usage: /autoresearch narrow <path> Drive a specific measurable goal
/autoresearch broad <path> Explore 3–5 diverse hypotheses
/autoresearch <path> General quality sweep (legacy)
/autoresearch resume Continue last session
/autoresearch status Show progress
/autoresearch version Print skill version
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 564 lines · 26 tokens per session scan A 49a8cb301484
autoresearch is a skill published in the GitHub repository ehmo/autoresearch-skill (53 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 6,987 once invoked, about $0.0001 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.
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