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 naimkatiman/continuous-improvement --skill autoresearchgit clone --depth 1 https://github.com/naimkatiman/continuous-improvementWrote 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/naimkatiman/continuous-improvement/autoresearch)<a href="https://agentmods.dev/skills/naimkatiman/continuous-improvement/autoresearch"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/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/naimkatiman/continuous-improvement/autoresearch"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/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 | $0.00024 | $0.00780 |
| Opus 5.5 | $0.00010 | $0.00312 |
| Sonnet 5.5 | $0.00005 | $0.00156 |
| Haiku 4.5 | $0.00002 | $0.00078 |
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 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
100% identical to autoresearch — 1 line 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.
What it actually says
<Use_When>
- You already have a mission and evaluator from
/deep-interview --autoresearch - You want persistent single-mission improvement with strict evaluation
- You need durable experiment logs under
.omc/autoresearch/ - You want a supported path for periodic reruns via Claude Code native cron </Use_When>
<Do_Not_Use_When>
- You need evaluator generation at runtime — use
/deep-interview --autoresearchfirst - You need multiple missions orchestrated together — v1 forbids that
- You want the deprecated
omc autoresearchCLI flow — it is no longer authoritative </Do_Not_Use_When>
<Required_Artifacts>
Canonical persistent storage lives under .omc/autoresearch/<mission-slug>/ and/or .omc/logs/autoresearch/<run-id>/.
Minimum required artifacts:
- mission spec
- evaluator script or command reference
- per-iteration evaluation JSON
- markdown decision logs
Recommended canonical shape:
.omc/autoresearch/<mission-slug>/
mission.md
evaluator.json
runs/<run-id>/
evaluations/
iteration-0001.json
iteration-0002.json
decision-log.md
Reuse existing runtime artifacts when available rather than duplicating them unnecessarily. </Required_Artifacts>
<Cron_Integration> Claude Code native cron is a supported integration point for periodic mission enhancement. In v1, prefer documenting/configuring cron inputs over building a large scheduler UI.
If cron is used:
- keep one mission per scheduled job
- preserve the same mission/evaluator contract
- append new run artifacts rather than overwriting prior experiments </Cron_Integration>
<Execution_Policy>
- Do not hand execution back to
omc autoresearch - Do not create multi-mission orchestration
- Prefer reusing
src/autoresearch/*runtime/schema helpers where they already match the stricter contract - Keep logs useful to humans, not only machines </Execution_Policy>
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 First seen · 91 lines · 24 tokens per session scan A f98736d700b4
autoresearch is a skill published in the GitHub repository naimkatiman/continuous-improvement (9 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 780 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to autoresearch, differing in 1 line, and is treated as a copy.
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