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 sinhoneyy/master-skills --skill autoresearch-agentgit clone --depth 1 https://github.com/sinhoneyy/master-skillsWrote 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/sinhoneyy/master-skills/autoresearch-agent)<a href="https://agentmods.dev/skills/sinhoneyy/master-skills/autoresearch-agent"><img src="https://agentmods.dev/badge/skills/sinhoneyy/master-skills/autoresearch-agent/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/sinhoneyy/master-skills/autoresearch-agent"><img src="https://agentmods.dev/badge/skills/sinhoneyy/master-skills/autoresearch-agent.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 | $0.00115 | $0.02993 |
| Opus 5.5 | $0.00046 | $0.01197 |
| Sonnet 5.5 | $0.00023 | $0.00599 |
| Haiku 4.5 | $0.00012 | $0.00299 |
Grade A, and why
autoresearch-agent scanned grade A with 1 finding 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 yesterday.
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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run(["my-benchmark", "--json"], capture_output=True, text=True) The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
5 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.
- yesterday Changed · +8 lines 4692d113d29f
- 1mo ago First seen · 309 lines · 115 tokens per session scan A 97ee2a381b7c
autoresearch-agent is a skill published in the GitHub repository sinhoneyy/master-skills (14 stars, last pushed yesterday), with no licence file. It adds 115 tokens to every session and 2,993 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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ax-extract-workflow
Reconstruct workflow behind a past coding-agent artifact using local ax sessions/commits/skills/tool traces. Use when asked how X was built.
core-workflow
Detailed development workflow patterns, checklists, and standards. Auto-loads for complex tasks, planning, debugging, or when explicit patterns are needed. Contains session protocols, git conventions, security checklists, review-based validation, and communication standards.
commit
Quality gate runs FIRST. Do NOT commit if any gate fails.
gate
MANDATORY before every commit and push. All gates must pass — Gates 1–3 always run; Gates 4 (Docker) and 5 (Cloud) run only when applicable. Do NOT proceed if any gate fails — fix the issue first.