source-verification
FeaturedVerify sources, claims, images, video, documents, interviews, and synthetic media with SIFT and a durable evidence trail. Use before relying on uncertain material.
Install
Quality Score: 89/100
Skill Content
Details
- Author
- jamditis
- Repository
- jamditis/claude-skills-journalism
- Created
- 8 months ago
- Last Updated
- 4 days ago
- Language
- Python
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
source-verify
Use when evidence records exist with verification_status pending and need to be checked before synthesis — either because the user asks to "verify these sources", "check if this quote actually supports the claim", "audit this evidence", or because the orchestrator has just finished a collection pass and is handing off to verification before synthesis. This is the mandatory station between any source skill and the synthesizer — no source skill's evidence reaches findings.jsonl without passing through here first. Do NOT use this to collect new evidence (that's the individual source skills) or to compute finding status (that's the deterministic validator, scripts/validate_run.py — this skill only resolves evidence-level verification_status).
lov-fact-check
用真人尽调思路校验用户提出的事实命题:拆解可验证问题、检索一手资料、 交叉验证证据链,并给出带置信度和不确定边界的结论。 Trigger when the user asks to fact-check, verify a claim, confirm whether something is true, source-check an answer, or mentions "事实校验", "帮我确认", "这是真的吗", "verify this", "fact check", "source check", "due diligence".
source-research
Build traceable evidence packets. Use when current research or source verification is needed.