lythoskill-sober
SolidStay clear-headed. Before you commit to a conclusion, check your basis. Is this evidence or assumption? Do the sources agree? What's the confidence per claim — not in general, but specifically? When you catch yourself listing risks without checking, or hesitating between directions without data, that's the signal to stop and verify.
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Quality Score: 80/100
Skill Content
Details
- Author
- lythos-labs
- Repository
- lythos-labs/lythoskill
- Created
- 3 months ago
- Last Updated
- 3 weeks ago
- Language
- TypeScript
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
deep-grounding
Invoke when you are about to assert a checkable claim or start a non-trivial analysis, design, diagnosis, or recommendation and need to ground it against the real sources before committing. Ask "where could the evidence for this be?", read the relevant sources, follow their leads recursively, and report conclusions with evidence tiers plus any residual unknowns. Use this **PROACTIVELY** when you catch yourself answering from memory, from a single source or angle, or when a result beats your expectation and could skip verification.
content-research-and-sourcing
The research-and-sourcing craft — verify the substance of a piece before it publishes: trace stats to primary sources, kill zombie stats, catch AI-hallucinated citations, and attribute properly on social. Use when someone has a stat-heavy draft to make publish-ready, wants to check if a viral statistic is real, asks how to cite sources, used AI research output, or is making health/finance claims. Uses the FACTS framework. Reads brand-profile + the piece's format skill first. AI-supplied citations are guilty until verified; a working link is not verification; aggregators are leads, not the source; where none exists, reframe as owned observation or commission data. The agent verifies where it has search; the human clicks links where it doesn't; verification happens before scheduling; WoopSocial publishes. Never invents studies or reuses retracted stats. Distinct from idea-generation, data-and-original-research, quote-cards, and infographic-and-data-viz.
evidence-tiering
Shared credibility framework for weighing any AI-related claim — a benchmark result, a model/tool announcement, a research paper, a demo, or a viral thread — by the quality of its source rather than how confidently it's stated. Use this any time you're about to repeat a claim about AI capabilities, performance, or news without having checked where it actually came from. Other skills (ai-release-triage, ai-pulse) call into this for their source-vetting step, but use it standalone too whenever a claim about AI needs a credibility check before you pass it on.