giasip-research

Files (2)

• FEEDBACK.md
• SKILL.md

SKILL.md (first lines)

> ✦ **GiaSip** · github.com/GiaSip/giasip-skills

# GiaSip Research

**Goal.** Get the user accurate information that answers *their* question. Accuracy is a hard constraint; breadth is a means (you must gather widely to hit the accurate parts).

**Method.** Split the question into 2–3 complementary facets and run one sub-agent per facet in parallel. Sub-agents only gather, they do not conclude. Each sub-agent stops after at most 15 searches/fetches and returns compact findings without writing files. The main agent then writes a single `report.md`: answer the user's questions one by one, list every entity found with its URL, keep the body under 200 lines, and end with a separate **"To verify"** section.

**Discipline (hard rules)**
- Every fact carries a source URL. Prefer official / owner primary sources; label source type (primary / third-party / media).
- If it cannot be found, write "not found" — never fill from memory. Dates are absolute. GitHub stars and timestamps come from `gh api` snapshots, not search-result pages.
- Read and write only inside the output directory. Never `rm -rf`.
- Before anything goes out under a real name, quotes a price, or states a legal/financial conclusion, run a verification pass on the claims.

**Meta-rule.** This skill only changes in response to a human comment made at the point of use (kept in `FEEDBACK.md` beside it). AI review feedback never edits it directly. Two controlled runs (2026-09-05/06) showed that growing this skill from 0 to 144 to 433 lines left precision flat, narrowed recall, and cost 6–13× more.

From GiaSip/giasip-skills, MIT.

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