evidence
Intake modeling problem files and curate research evidence with faithful source text, targeted verification, pins, and freezes.
Skill by SoFarSoGoodya
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sofarsogoodya-evidence
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About
Use cases: research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/evidence
What's inside
- Skill name
evidence- Description
- Intake modeling problem files and curate research evidence with faithful source text, targeted verification, pins, and freezes.
- License
- MIT
- Instructions
- 27 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Evidence Work Keep originals read-only. Start with the cheapest faithful representation: page-marked PDF text or programmatic spreadsheet profile. Keep literal source content in `document.md`; put summaries, relevance, and limits in notes or topic navigation. Use targeted research when there is a stated evidence gap. Stop when the gap closes, the time limit is reached, or new results have low value. Use full research only for open or external-fact-heavy questions; expand methods, counterexamples, and citation tracing, then stop after two rounds without high-value additions. Do not present either mode as exhaustive. For PDFs, record uncertain page/region questions and request only that region for visual review. For workbooks, inspect all sheets programmatically and use the conversion check; do not ask people to review rows or silently clean data. Formula text is not a calculated value, and a missing cache is an explicit limitation. Register sources by DOI, canonical URL, or content hash. A title match alone is not enough. Mark abstract-only or metadata-only access honestly and do not use it to support claims beyond what it contains. Claims need a specific locator and scope. Pin the actual versions a consumer adopts. Refresh is an explicit choice, not a side effect of new search results. Freeze only the subset used by the output, including applicable official rules; generate citations from that freeze. New unrelated material leaves old freezes valid. When a known error appears, follow only its claim/pin/freeze dependencies and request review there, while retaining prior files for reproducibility.
From SoFarSoGoodya/mathmodel-weave, MIT.
More from SoFarSoGoodya/mathmodel-weave
- 0.598score
publication
SoFarSoGoodya
Build and review a Chinese XeLaTeX mathematical-modeling paper from a fixed selected result, evidence freeze, and formal execution manifest.
SkillAFreshness: A★ 2Claude Code +9 - 0.595score
execution
SoFarSoGoodya
Run a local mathematical experiment through the MathModel runtime and package traceable observations, metrics, checks, and figures.
SkillAFreshness: A★ 2Claude Code +9 - 0.587score
coordinator
SoFarSoGoodya
Coordinate a bounded mathematical-modeling case through runtime RESULT.json handoffs and human decisions.
SkillAFreshness: A★ 2Claude Code +9 - 0.549score
review
SoFarSoGoodya
Independently review mathematical-modeling candidates, experiments, comparisons, or fusions from fixed selected material.
SkillBFreshness: B★ 2Claude Code +9 - 0.546score
exploration
SoFarSoGoodya
Develop independently reasoned mathematical-modeling candidates and fixed comparison material for an approved case.
SkillBFreshness: B★ 2Claude Code +9
Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 13, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/SoFarSoGoodya/mathmodel-weave
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from SoFarSoGoodya
- 0.598score
publication
SoFarSoGoodya
Build and review a Chinese XeLaTeX mathematical-modeling paper from a fixed selected result, evidence freeze, and formal execution manifest.
SkillAFreshness: A★ 2Claude Code +9 - 0.595score
execution
SoFarSoGoodya
Run a local mathematical experiment through the MathModel runtime and package traceable observations, metrics, checks, and figures.
SkillAFreshness: A★ 2Claude Code +9 - 0.587score
coordinator
SoFarSoGoodya
Coordinate a bounded mathematical-modeling case through runtime RESULT.json handoffs and human decisions.
SkillAFreshness: A★ 2Claude Code +9 - 0.549score
review
SoFarSoGoodya
Independently review mathematical-modeling candidates, experiments, comparisons, or fusions from fixed selected material.
SkillBFreshness: B★ 2Claude Code +9 - 0.546score
exploration
SoFarSoGoodya
Develop independently reasoned mathematical-modeling candidates and fixed comparison material for an approved case.
SkillBFreshness: B★ 2Claude Code +9
Cite this page
evidence skill. Agent Mart. https://agentmart.dev/skills/sofarsogoodya-evidence (last updated 2026-10-24)