investigation-first
调查研究:在下判断、做决策、给建议之前,先用第一手材料弄清现状,产出「事实 / 推断 /...
What this skill does for you
调查研究:在下判断、做决策、给建议之前,先用第一手材料弄清现状,产出「事实 / 推断 / 未知」三栏调查结论。当上下文不完整、证据薄弱、领域陌生、用户说"先别动手"、或你发现自己在凭印象作答时触发;已充分调查后的执行阶段不要重复触发。 English: Investigate before judging. Gather firsthand facts and produce a fact / inference / unknown ledger before any recommendation. Trigger when context is incomplete, evidence is thin, the domain is unfamiliar, the user says "look first", or you notice yourself answering from impression; skip when investigation is already done and the task is pure execution.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the investigation-first skill from hughyau/qiushi-skill.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 3d36c1471081d0cedce248836522c6e845f9b516. Raw findings: . Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 3d36c1471081d0cedce248836522c6e845f9b516. Raw findings: 1. Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 3d36c1471081d0cedce248836522c6e845f9b516. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/hughyau/qiushi-skill
- Pinned skill file
- View source at revision
- Revision
- 3d36c1471081d0cedce248836522c6e845f9b516
- Package hash
- sha256:dc08ced28b7b28a6ce05c8bc1ed95ff4c394dc1c34e486995269c87bd0529667
- Licence
- MIT