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SKILL verified MIT Self-run

Hunt Research Sources

skill-ariaxhan-the-agent-library-hunt-research-sources · by ariaxhan

Run a wide research source hunt and return a ranked findings report. Use when the user asks to "hunt for sources", "go find sources on X", "scan the web for", "do a research sweep", "find the best sources", or compare many sources before deciding what matters. Produces a sourced report with accepted findings, rejected sources, conflicts, and gaps.

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Install

$ agentstack add skill-ariaxhan-the-agent-library-hunt-research-sources

✓ 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 →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
29d 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 →
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About

Hunt Research Sources

Go wide, kill noise, and bring back only findings that survive quality and novelty filters.

Use this for breadth. If the user gives one article or one URL, use a single-source extraction workflow instead.

1. Define the hunt

Clarify in your own notes:

  • Topic
  • Time sensitivity
  • Source types worth prioritizing
  • What counts as useful evidence
  • Output path

Default output:

research/YYYY-MM-DD-hunt-topic.md

If the project already has a research folder, use that.

2. Reconnaissance

Gather 8-15 candidate sources from relevant channels:

  • Official docs or primary sources
  • GitHub repos/issues/discussions
  • Engineering blogs or postmortems
  • Papers or technical reports
  • Forums only when lived experience matters
  • News only when the topic is current

Record source title, URL, date, and why it might matter.

3. Triage hard

Reject weak sources before deep reading:

  • Marketing fluff
  • Rewritten listicles
  • Outdated material for fast-moving topics
  • Paywalled/unreadable pages unless the user can provide them
  • Sources that only repeat already-known claims
  • Claims with no implementation detail, evidence, or examples

Aim to reject at least half.

4. Extract survivors

For each surviving source, capture:

  • Main claim
  • Concrete details: flags, numbers, configs, commands, caveats, examples
  • Failure modes or tradeoffs
  • Evidence strength
  • What is new relative to the rest of the hunt

Avoid long quotes. Link everything.

5. Synthesize

Write the report:

# Hunt:  | 

## Summary

## Top Findings
### 1. 
Source: 
Why it matters:
Evidence:
Confidence:

## Conflicts
| Claim A | Claim B | Current read |

## Rejected Sources
| Source | Reason |

## Gaps

## Recommended Next Moves

6. Quality gate

Before finishing:

  • Every major claim has a URL.
  • Findings are ranked, not dumped.
  • Rejections are logged.
  • Conflicts are explicit.
  • Gaps are named.
  • The report says what decision it supports.

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.

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Versions

  • v0.1.0 Imported from the upstream source.