cyfung1031

58 mods across 1 repository, 2 stars between them.

cyfung1031/skills

Skill Claude CodeCodex

Concise neutral options with explicit applicability, safety redirects, agency-preserving wording, evidence/uncertainty handling, full-language localization, exact preservation, validation checklist, audit footer, and regression harness.

2 21d ago A 46 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Use only for concise, neutral, non-directive suggestions about a user-specified topic. Output practical options with risks/trade-offs, without guarantees, pressure, commands, or professional conclusions.

2 21d ago B 44 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Use only when the user asks for suggestions, options, considerations, alternatives, trade-offs, or a neutral recommendation about a specified topic.

2 21d ago A 29 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Use only when the user asks for suggestions, options, considerations, alternatives, trade-offs, or a neutral recommendation about a specified topic.

2 21d ago A 33 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Use only for suggestions/options/alternatives/trade-offs for specified topic.

2 21d ago A 10 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Neutral options with safety boundaries, agency-preserving language, source/uncertainty handling, localization, validation, and audit hooks.

2 21d ago A 32 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Concise neutral options with explicit applicability, safety redirects, agency-preserving wording, evidence/uncertainty handling, full-language localization, exact preservation, validation checklist, audit footer, and regression harness.

2 21d ago A 46 tokens copy · 100% MIT

cyfung1031/skills

Skill Claude CodeCodex

Revises operational text for agent execution with minimal wording while preserving intent, safeguards, protected tokens, validation evidence, handoff state, scripts, and localization.

2 21d ago A 37 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Improves operational text so AI agents can parse intent, act reliably, and validate completion with the fewest words needed for correct execution.

2 21d ago A 32 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Improves operational text so AI agents can parse intent, act reliably, preserve safeguards, and validate completion with the fewest words needed for correct execution.

2 21d ago A 35 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Improves operational text so AI agents can act reliably while preserving intent, safeguards, human maintainability, and minimum sufficient wording.

2 21d ago A 30 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Improves operational text so AI agents can act reliably while preserving intent, safeguards, human maintainability, and minimum sufficient wording.

2 21d ago A 30 tokens copy · 89% MIT

cyfung1031/skills

Skill Claude CodeCodex

Improves operational text so AI agents can act reliably while preserving intent, safeguards, human maintainability, and minimum sufficient wording.

2 21d ago A 30 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Revises operational text for agent execution with minimal wording while preserving intent, safeguards, protected tokens, validation evidence, handoff state, scripts, and localization.

2 21d ago A 37 tokens copy · 100% MIT

cyfung1031/skills

Skill Claude CodeCodex

Sanitize unpushed local git commits from ai-dev-loop R/K loops. Use when a branch has local R: or K: commits and an agent needs to remove .ai-dev-loop/ artifacts, rewrite human-readable commit messages, preserve authors/dates, and prepare history before push or review.

2 21d ago A 72 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Sanitize unpushed local git commits from ai-dev-loop R/K loops. Use when a branch has local R: or K: commits and an agent needs to remove .ai-dev-loop/ artifacts, rewrite human-readable commit messages, preserve authors/dates, and prepare history before push or review.

2 21d ago A 72 tokens copy · 94% MIT

ai-dev-loop

17

cyfung1031/skills

Skill Claude CodeCodex

Run an auditable R/K loop. R reviews requirements, plans, diffs, tests, documentation, risks, and evidence. K responds to every required finding, scans whole-change impact, updates all directly affected files, validates, and records evidence.

2 21d ago A 3 tokens original MIT

ai-dev-loop

18

cyfung1031/skills

Skill Claude CodeCodex

Token-efficient auditable R/K repository loop.

2 21d ago A 13 tokens original MIT

ai-dev-loop

19

cyfung1031/skills

Skill Claude CodeCodex

Token-efficient auditable R/K repository loop with module-on-demand runtime details.

2 21d ago A 19 tokens original MIT

ai-dev-loop

20

cyfung1031/skills

Skill Claude CodeCodex

Token-efficient auditable R/K repository loop with module-on-demand runtime details.

2 21d ago A 19 tokens copy · 100% MIT

cyfung1031/skills

Skill Claude CodeCodex

Build large, diverse, auditable benchmark datasets and measurement harnesses for evaluating prompts, skills, specs, agents, or candidate versions across scenarios, languages, contexts, and risk levels.

2 21d ago A 42 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Compare, score, improve, retest, and stop candidate-version work with source-grounded identity, target maps, calibrated objectives, broad category buckets with explicit coverage lenses, validation-tier claim caps, evidence ledgers, recomputable score packets, observability markers, artifact checksums, correction…

2 21d ago A 78 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Unpack and compare candidate versions, independently score each one, then build a stronger best-version successor using evidence-backed best practices.

2 21d ago A 29 tokens original MIT

cyfung1031/skills

Skill Claude CodeCodex

Compare candidate versions, synthesize an evidence-backed successor, then measure it against the candidates to validate the best measured version before making a recommendation.

2 21d ago A 32 tokens original MIT