Agent skill

grounded-research

Epistemic honesty protocol for code research. Forces uncertainty admission, cascading verification through authoritative sources (deepwiki, submodules, web), and approach validation before implementation.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill grounded-research --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/analysis/grounded-research/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Grounded Research Protocol **Purpose**: Enforce epistemic honesty in code research. Admit uncertainty, cascade through authoritative sources, verify approaches BEFORE implementing. ## Core Doctrine: Uncertainty Admission > **You do not know what you have not verified.** ### Knowledge Cutoff Awareness | Fact | Implication | |------|-------------| | Today's date | 2026-01-16 | | Knowledge cutoff | May 2025 | | Gap | ~8 months | **For any library/API/pattern that could have changed since May 2025, you MUST:** 1. Admit uncertainty explicitly 2. Research via authoritative sources 3. Verify before claiming knowledge ### Uncertainty Markers Use these markers in your thinking and responses: | Marker | Meaning | Action | |--------|---------|--------| | `[UNCERTAIN]` | I'm not confident about this | Research required | | `[CUTOFF-GAP]` | This may have changed since May 2025 | Verify via sources | | `[VERIFIED]` | Confirmed via authoritative source | Safe to assert | | `[INFERRED]` | Based on patterns, not verification | State explicitly | ### Example Uncertainty Admission ``` [UNCERTAIN] I believe Effect.Service<>() uses double-parenthesis syntax, but my knowledge is from May 2025. Let me

What's inside
Steps it walks through
  1. Core Doctrine: Uncertainty Admission
  2. Knowledge Cutoff Awareness
  3. Uncertainty Markers
  4. Example Uncertainty Admission
  5. Research Cascade Protocol
  6. When to Use Each Level
  7. Verification Query Patterns
  8. DON'T: Ask for "the answer"
  9. DO: Ask WHETHER your understanding is correct
  10. Verification Query Templates
  11. MCP Tool Usage
  12. deepwiki Tools
  13. Canonical Repos for deepwiki
  14. Submodule Research
Ships with 1 file
  • metadata.json
Commands it runs
Effect website (human-authored docs - HIGHEST trust)
ls ../../submodules/website/content/src/content/docs/docs/
Effect source + tests (canonical patterns)
find ../../submodules/effect/packages -name "*.test.ts" | head -20
effect-atom tests (atom patterns)
ls ../../submodules/effect-atom/packages/atom/test/
Search for specific pattern
grep -r "Effect.Service" ../../submodules/effect/packages/effect/src/
More from claude-skill-registry
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About this skill
What does the grounded-research skill do?

Epistemic honesty protocol for code research. Forces uncertainty admission, cascading verification through authoritative sources (deepwiki, submodules, web), and approach validation before implementation.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill grounded-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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