AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Autoresearch Toolfinder

skill-jajupmochi-agent-harness-autoresearch-toolfinder · by jajupmochi

Find the right autonomous-research / autoresearch tool, framework, port, or skill for a research or engineering task. Searches a local cached index of two curated awesome-autoresearch lists (alvinreal + yibie, 550+ entries) and returns only the few matching tools, never loading the whole catalog into context. Use when the user wants to pick, compare, or set up an autoresearch loop, an AI-scientis…

No reviews yet
0 installs
31 views
0.0% view→install

Install

$ agentstack add skill-jajupmochi-agent-harness-autoresearch-toolfinder

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-jajupmochi-agent-harness-autoresearch-toolfinder)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Autoresearch Toolfinder? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

autoresearch-toolfinder

Recommends tools from two curated awesome-autoresearch catalogs (550+ entries) WITHOUT reading the whole list into context. You run a search script and read back only the top matches.

How to use (token-efficient — follow this; do NOT cat the index)

The catalog is large. Never read data/index.json directly (that defeats the purpose). Run the query script from the skill directory; it returns only the top candidates:

python3 scripts/query.py ""
# options:  --source alvinreal|yibie   --category ""   --limit 8   --json
python3 scripts/query.py --list-categories      # see sections + counts first

Examples:

  • Apple-Silicon / MLX port: python3 scripts/query.py "apple silicon mlx mac metal"
  • End-to-end AI scientist: python3 scripts/query.py "ai scientist paper literature review" --source alvinreal
  • RL post-training loop: python3 scripts/query.py "reinforcement learning grpo post-training"
  • Trading strategy search: python3 scripts/query.py "trading strategy backtest" --source yibie
  • Browse a whole section: python3 scripts/query.py "" --category "Evaluation"

Then: read the handful of name + url + one-liner results, pick the best 1-3 for the user's actual context, and say why. Open a specific repo URL (WebFetch) only if the user wants depth.

When to activate (auto)

Activate when the user is choosing / comparing / setting up: an autoresearch or self-improvement loop; an AI-scientist or research-agent system; a hardware/platform port; a domain adaptation (bio, materials, finance, vision, RL, kernels, robotics...); or an eval harness — or asks "what should I use for autonomous research / overnight experiments on X".

Not this skill: to actually run a full autonomous research project end-to-end, use the sibling autoresearch orchestration skill. This skill is the catalog / finder only.

Keeping it current (update tracking)

data/state.json stores each upstream repo's commit SHA + sync time.

python3 scripts/check_updates.py     # cheap: 1 API call/repo, compares SHA, exits 1 if stale
python3 scripts/update_index.py      # re-fetch + re-parse both repos, rewrite the index

A weekly user systemd timer (systemd/autoresearch-index.timer) refreshes automatically; query.py also prints a hint when the local index is older than 30 days.

Sources

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.