Repository
jongwony/epistemic-protocols agent skills
- skills
- 29
- GitHub stars
- 173
GitHub description: “Epistemic protocols for Claude Code — structure human-AI interaction quality at every decision point - https://epistemic-protocols.com”
- Stars
- 173 (15 forks)
- Licence
- MIT
- Last push
- Oct 2026
- Created
- Dec 2025
- ai-collaboration
- claude-code
- epistemology
- metacognition
- plugin
Install all skills
npx skills add jongwony/epistemic-protocolsAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in jongwony/epistemic-protocols, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 1.Outcome This skill should be used when the user asks to "run the outcome eval", "paired bare vs protocol", "which decisions did the protocol surface", "count what the AI asked or presented", "does /inquire… | jongwony/ | 173 | — | ~1.3k | Automated safety check: Notes | MIT | today |
| 2 | 2.Realize This skill should be used when the user asks to "run the eval", "test whether the protocol actually works at runtime", "check type realization", "measure protocol fulfillment", "run the… | jongwony/ | 173 | — | ~3.3k | Automated safety check: Notes | MIT | today |
| 3 | 3.Verify This skill should be used when the user asks to "verify protocols", "check consistency before commit", "validate definitions", "run pre-commit checks", "verify soundness", or wants to ensure… | jongwony/ | 173 | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 4 | This skill should be used when the user asks to "audit plugin encapsulation", "check self-containment semantics", "find contributor-knowledge assumptions", or invokes /encapsulation. | jongwony/ | 173 | — | ~2k | Automated safety check: Pass | MIT | today |
| 5 | This skill should be used when the user asks to "formal review", "formal lens review", or invokes /formal-review. | jongwony/ | 173 | — | ~3.5k | Automated safety check: Notes | MIT | today |
| 6 | The user vaguely recalls something discussed before but cannot name it — one session, or a line of work, topic, or settled concept across several: find it in past records to recognize. | jongwony/ | 173 | — | ~8.7k | Automated safety check: Pass | MIT | today |
| 7 | A skill your agent uses when the user asks to "check white bear", "audit prohibitions", "find negative framing", or invokes /white-bear. | jongwony/ | 173 | — | ~2.5k | Automated safety check: Pass | MIT | today |
| 8 | A skill your agent uses when the user asks to "check zero-shot", "audit few-shot anchoring", "find example anchoring", or invokes /zero-shot. | jongwony/ | 173 | — | ~1.7k | Automated safety check: Pass | MIT | today |
| 9 | One goal is about to be handed to an autonomous run: cut it into units that each fit one stretch of the run and carry their own conditions for when they are done. | jongwony/ | 173 | — | ~16k | Automated safety check: Pass | MIT | today |
| 10 | 10.Bound The user cannot yet see what a task needs them to decide, or which decisions to keep or entrust: map the whole task first, then open each decision to the depth needed. | jongwony/ | 173 | — | ~12k | Automated safety check: Pass | MIT | today |
| 11 | 11.Conduct The work needs several lines of thinking, and their order, independence, combination, stopping point, or where results go is not obvious: settle the method before starting. | jongwony/ | 173 | — | ~9.9k | Automated safety check: Pass | MIT | today |
| 12 | A result may not fit where it lands: check every place it reaches and every intent it was meant to carry, show every misfit and omission on one sheet, and carry out the fixes the user settles. | jongwony/ | 173 | — | ~8.6k | Automated safety check: Pass | MIT | today |
| 13 | 13.Elicit The user knows roughly what they want but not which decisions it turns on: trace them from their own material (code, rules, past sessions) and the domain's usual decisions; ask until it settles. | jongwony/ | 173 | — | ~5.9k | Automated safety check: Pass | MIT | today |
| 14 | 14.Grasp Something in play — code, a document, a result, quotable in context — needs to be actually understood; the user can't follow it yet or nods along unsure: verify understanding step by step. | jongwony/ | 173 | — | ~8.4k | Automated safety check: Pass | MIT | today |
| 15 | 15.Ground A framework, analogy, or earlier design is carried to a case, or an abstraction tested against its own cases, and what it supports is unclear: back each conclusion with cited evidence, not assent. | jongwony/ | 173 | — | ~11k | Automated safety check: Pass | MIT | today |
| 16 | 16.Ideate The idea field is empty, narrowed too early, or thin in places: widen it in width and depth before any candidate is chosen; reads the user's words and what they name. | jongwony/ | 173 | — | ~8.3k | Automated safety check: Pass | MIT | today |
| 17 | 17.Induce Several concrete cases at hand seem to share something no one has named yet: pin down what they have in common, checked against the goal the name serves. | jongwony/ | 173 | — | ~7.9k | Automated safety check: Pass | MIT | today |
| 18 | 18.Inquire A task rests on missing context or unchecked assumptions: collect every piece of context the AI can reach on its own, then hand back what it cannot reach as the user's own unknown. | jongwony/ | 173 | — | ~7.6k | Automated safety check: Pass | MIT | today |
| 19 | 19.Onboard Quick protocol recommendation from recent sessions, or quest-based learning through scenario, trial, and quiz. | jongwony/ | 173 | — | ~7.5k | Automated safety check: Pass | MIT | today |
| 20 | 20.Preview The user is about to commit to one of several directions that cannot be judged from their descriptions: build throwaway probes showing where they diverge, and decide on what is seen. | jongwony/ | 173 | — | ~11k | Automated safety check: Pass | MIT | today |
| 21 | 21.Rederive This skill should be used when choi names a core protocol whose Lean contract is to be re-derived, or invokes /rederive. | jongwony/ | 173 | — | ~3.7k | Automated safety check: Notes | MIT | today |
| 22 | 22.Release Release for this repo — CalVer tag + narrative prepend. An agent skill from jongwony/epistemic-protocols. | jongwony/ | 173 | — | ~2.8k | Automated safety check: Pass | MIT | today |
| 23 | 23.Route Route the accumulated session context to the loaded core protocol whose deficit it shows — /route. | jongwony/ | 173 | — | ~3.4k | Automated safety check: Pass | MIT | today |
| 24 | 24.Sketch Something has to be made that the user cannot describe but would recognize on sight: mark what does not fit on concrete sketches, revising until a form is recognized. | jongwony/ | 173 | — | ~13k | Automated safety check: Pass | MIT | today |
| 25 | 25.Sublate Context about to be acted on may no longer hold — stale, weakly sourced, or contradicted: challenge each claim the action leans on, and the user judges what stands before acting. | jongwony/ | 173 | — | ~9.4k | Automated safety check: Pass | MIT | today |
| 26 | 26.Gate Check Advisor-checked decision gates. An agent skill from jongwony/epistemic-protocols. | jongwony/ | 173 | — | ~13k | Automated safety check: Pass | MIT | today |
| 27 | 27.Probe Deficit Recognition Probe — surface multiple deficit hypotheses for the user's current situation and route by user-constituted recognition (fit review, not protocol scoring). | jongwony/ | 173 | — | ~7.4k | Automated safety check: Pass | MIT | today |
| 28 | 28.Realign Project guide direction line via three-horizon fusion. An agent skill from jongwony/epistemic-protocols. | jongwony/ | 173 | — | ~7.2k | Automated safety check: Pass | MIT | today |
| 29 | Scoped empirical validation. An agent skill from jongwony/epistemic-protocols. | jongwony/ | 173 | — | ~5.7k | Automated safety check: Pass | MIT | today |
Questions, answered from the data.
What is the best skill in jongwony/epistemic-protocols?
Outcome from jongwony/epistemic-protocols ranks first of the 29 skills in jongwony/epistemic-protocols listed here, with the highest score: its repository has 173 GitHub stars, its SKILL.md loads about 1.3k tokens and it has informational notes only in the automated safety check. Next come Realize and Verify.
Are the skills in jongwony/epistemic-protocols official?
None yet. All 29 skills in jongwony/epistemic-protocols listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from jongwony/epistemic-protocols?
Run npx skills add jongwony/epistemic-protocols in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.