Deepseek Reason
ruvnet/ruflo
Reasoning-mode completion against DeepSeek's deepseek-reasoner model (R1) via /v1/chat/completions.
Default first-line, domain-agnostic meta-reasoning control for choosing the right path.
$ npx skills add cyfung1031/userscript-supports --skill pick-invariant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install cyfung1031/userscript-supports pick-invariant --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/cyfung1031/userscript-supports.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-skills/pick-invariant .claude/skills/pick-invariant && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pick-invariant" agent skill from https://github.com/cyfung1031/userscript-supports/tree/main/agent-skills/pick-invariant into .claude/skills/pick-invariant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-invariant", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/cyfung1031/userscript-supports/tree/main/agent-skills/pick-invariantType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add cyfung1031/userscript-supports --skill pick-invariant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install cyfung1031/userscript-supports pick-invariant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyfung1031/userscript-supports.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent-skills/pick-invariant .agents/skills/pick-invariant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pick-invariant" agent skill from https://github.com/cyfung1031/userscript-supports/tree/main/agent-skills/pick-invariant into .agents/skills/pick-invariant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-invariant", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cyfung1031/userscript-supports --skill pick-invariant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install cyfung1031/userscript-supports pick-invariant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyfung1031/userscript-supports.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent-skills/pick-invariant .cursor/skills/pick-invariant && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pick-invariant" agent skill from https://github.com/cyfung1031/userscript-supports/tree/main/agent-skills/pick-invariant into .cursor/skills/pick-invariant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-invariant", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/cyfung1031/userscript-supports.git --path agent-skills/pick-invariant--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add cyfung1031/userscript-supports --skill pick-invariant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install cyfung1031/userscript-supports pick-invariant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyfung1031/userscript-supports.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent-skills/pick-invariant .gemini/skills/pick-invariant && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pick-invariant" agent skill from https://github.com/cyfung1031/userscript-supports/tree/main/agent-skills/pick-invariant into .gemini/skills/pick-invariant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-invariant", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install cyfung1031/userscript-supports pick-invariantInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add cyfung1031/userscript-supports --skill pick-invariant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/cyfung1031/userscript-supports.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent-skills/pick-invariant .github/skills/pick-invariant && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pick-invariant" agent skill from https://github.com/cyfung1031/userscript-supports/tree/main/agent-skills/pick-invariant into .github/skills/pick-invariant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-invariant", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add cyfung1031/userscript-supports --skill pick-invariant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install cyfung1031/userscript-supports pick-invariant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/cyfung1031/userscript-supports.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent-skills/pick-invariant .opencode/skills/pick-invariant && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pick-invariant" agent skill from https://github.com/cyfung1031/userscript-supports/tree/main/agent-skills/pick-invariant into .opencode/skills/pick-invariant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pick-invariant", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pick-invariantDefault first-line, domain-agnostic meta-reasoning control for choosing the right path.
Pick Invariant is an agent skill from cyfung1031/userscript-supports. Default first-line, domain-agnostic meta-reasoning control for choosing the right path. Use it to resolve an undecided choice, narrow an exploration, audit an invariant, investigate an owner-identified gap, or determine whether a validated owner can be used directly when no Pick exploration or audit is requested. Preserve target, authority, and semantics; retain only observable distinctions that can change the target decision; prefer the cheapest sufficient observation or representation; refine only on an…
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 59 other files, including reference files (for example `README.md`, `agents/openai.yaml` and `examples/worked_examples.md`).
The repository describes itself as: This is for the userscripts created on GreasyFork.org. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit a6a319e. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pick Invariant loads about 2.2k tokens when it runs, and up to ~30k if it reads all its reference files. Until then it costs about 152 tokens; SKILL.md has 769 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from cyfung1031/userscript-supports at commit a6a319e, republished under its MIT licence (© cyfung1031). 769 words, ~2,191 tokens.
.claude/skills/pick-invariant/SKILL.md (or your agent's skills folder). This skill also uses 55 other files; get the full folder from GitHub.Govern every path by:
Preserve target, authority, and semantics. Keep only decision-relevant distinctions. Prefer the cheapest sufficient observation/representation. Refine only on an explicit witness.
Pick remains the structural grammar:
R_P(x)=<P(x),I(x),B(x),χ(x)> ; D(x)=d(R_P(x))P = applicability/authority/observable scope; I = owned local semantics; B = material seams;
χ = genuinely non-local structure. Pick locates candidate distinctions; retention is target-relative:
x1 ~D x2 iff no admissible target-relevant discriminator requires different decisions
R(x1)=R(x2) => D(x1)=D(x2)Use the coarsest evidence-supported observable representation. Retain a distinction only if removing or merging it collapses an acceptance-changing contrast or violates a bound requirement.
Bind supplied artifact identity before exact-conformance claims; else mark INFERRED_PICKINVARIANT.
explicit authority > validated owner > validated extension > PickInvariant derivation > preferenceChoose one primary mode:
Δ, mutation, rebind,
or authority installation.NO_OWNER or owner/higher-authority adopted PROCEDURE_GAP; bind
INVESTIGATE | COMPILE. Only COMPILE may authorize action from a complete adopted gap.Exploration/audit evidence never creates derivation authority.
Exploration may reframe broadly while anchoring target, authority, observations, and constraints. Commit only target-bound observable contrasts, falsifiable questions, or adopted gaps.
The theorem stack is internal control logic, not mandatory user-facing ceremony. Unless architecture
is requested or explanatory, answer in native domain language; do not dump P/I/B/χ, quotient
classes, theorem names, certificates, or receipts merely to show work.
Depth:
Δ.D.DELTA_AUDIT, FULL_AUDIT, or another explicit
completeness claim.Every escalation names its witness and new decision power; de-escalate once a simpler sufficient representation survives the relevant contrasts. Specialist probability/composition gates are orthogonal to depth unless they expose structural uncertainty.
For PICK_AUDIT, bind exactly FOCUSED_AUDIT | DELTA_AUDIT | FULL_AUDIT. Delta/full use
SURVEY -> MAP -> CONTRAST -> PINPOINT until each material semantic family is
CHECKED | EXCLUDED(reason) | UNVERIFIED(risk) or a named oracle blocks progress. Separate finding
confidence from completeness; reconcile stale/resolved findings; never globalize scoped
NO_GAP_FOUND.
Before structural derivation/rebinding bind domain, target, oracle, observables, exclusions, and Q_D;
mark needed observables AVAILABLE_NOW | PROSPECTIVE_ONLY | ERASED_UNRECOVERABLE.
For each candidate distinction ask: admissible/reachable? target/consumer-changing? observable at
decision time? does removal/merge collapse a valid contrast? Retain only if needed. Preserve seam
coverage producer_guarantee >= consumer_requirement. Prove sufficiency before minimality; reserve
MINIMAL for target-relative removal/merge-tested claims, else use SUFFICIENT or
VALID_COMPRESSION.
When stochastic information-channel equivalence is material, use Blackwell/Le Cam rules in the
probability/decision-quotient references; do not equate coordinate equality with information equality. When a global conclusion combines
overlapping pieces, repeated decompositions, or non-local compatibility, activate
COMPOSITION_TRIGGER; do not assume additivity. A validated owner that owns the law/composition stays
DIRECT.
Activate PROBABILITY_MEASURE_TRIGGER only when probability law, sampling, conditioning/rejection,
quotient weighting, stochastic transport, or information-channel semantics can change the target.
Then load references/probability_semantics.md before any law-level, UNIFORM, stochastic-
sufficiency, conditioning, transport, canonicality, or quotient-weighting claim. Incidental stochastic
vocabulary does not fire it; a validated owner that already binds the material law may remain
DIRECT.
Null/measure-zero or parameterization-sensitive conditioning requires an explicit conditioning / disintegration basis; symmetry-based canonicality requires the invariant-measure gate. If required detail cannot load, narrow/downgrade the claim rather than inventing semantics.
When several authorized observations could resolve uncertainty, prefer the cheapest reachable one that separates leading acceptance-changing alternatives; do not invent numeric priors/utilities. If a failed contrast may be abstraction-induced, validate it against raw/admissible state: real witness -> gap/failure evidence; spurious witness -> smallest witness-backed representation refinement. Never patch a known-insufficient representation only in the decision rule.
Only PICK_DERIVE may run:
DELTA -> OBSERVE -> COMPILE -> FREEZE -> VERIFY -> REBIND -> STOPPreserve mature-owner safeguards. Every nontrivial action must prospectively resolve/discriminate a named acceptance-changing condition. Executors consume compiled artifacts and do not rediscover PickInvariant. Rebind only on observed decision misclassification plus a named missing structural distinction. The certified gap is the derivation budget.
Use PICK_LITERAL only for an appropriate lattice polygon: A = I + B/2 - 1; otherwise
PICK_STRUCTURAL. Never transfer literal coefficients without independent basis; Ehrhart/valuation
extensions require their own assumptions.
Load only on material triggers:
references/exploration_and_adaptive_rigor.mdreferences/pick_abstraction.md, references/pick_representation.mdreferences/theorem_provenance.mdMINIMAL -> references/decision_quotients.mdreferences/audit_and_contrast.md, references/review_scope_and_coverage.md; software DELTA/FULL -> references/software_audit_adapter.mdreferences/audit_search_policy.mdreferences/canonicalization_seam.mdreferences/partial_commit.mdreferences/interaction_contrasts.mdreferences/procedure_gaps.md, references/binding_and_rebinding.md, references/execution_and_failures.mdreferences/architecture.md, integration/procedure_resolution.mdreferences/seams_information_and_time.mdreferences/probability_semantics.mdreferences/composition_and_refinement.mdintegration/specialized_gates.mdreferences/prompt_and_presentation.mdreferences/robustness.mdtemplates/, examples/Triggers are algorithmic. If required detail is unavailable, narrow or downgrade the conclusion rather than pretending it was applied.
© cyfung1031, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 55 other files (references) in agent-skills/pick-invariant of cyfung1031/userscript-supports.
Open the folder on GitHubat commit a6a319e
Pick Invariant next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pick Invariant this skillcyfung1031/userscript-supports | 121 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Deepseek Reasonruvnet/ruflo | 74k | — | ~626 | Automated safety check: Notes | MIT | |
| Sitemap Domainthedaviddias/Front-End-Checklist | 74k | — | ~531 | Automated safety check: Pass | MIT | |
| Domain Driven Designdavila7/claude-code-templates | 33k | 5 repos | ~623 | Automated safety check: Pass | MIT | |
| Domain Modeling and Glossarywindmill-labs/windmill | 18k | — | ~622 | Automated safety check: Pass | Custom licence | |
| Flutter Cherry Pickflutter/flutter | 179k | — | ~1.8k | Automated safety check: Pass | BSD-3-Clause |
ruvnet/ruflo
Reasoning-mode completion against DeepSeek's deepseek-reasoner model (R1) via /v1/chat/completions.
thedaviddias/Front-End-Checklist
A skill your agent uses when applies to sites that have recently migrated from HTTP to HTTPS, changed domain name, or have www/non-www redirect configurations.
davila7/claude-code-templates
Plan and route Domain-Driven Design work from strategic modeling to tactical implementation and evented architecture patterns.
windmill-labs/windmill
Actively challenges vague or conflicting terminology as you design, and keeps a living domain glossary file up to date in real time.
flutter/flutter
How to land a formal cherry-pick of a merged PR for the flutter/flutter repo stable or beta channel.
sickn33/agentic-awesome-skills
Correctness-first: forces writing the function contract, loop invariant, termination argument, and edge cases BEFORE code.
cyfung1031/userscript-supports
Review browser userscript changes in JavaScript userscript files, focusing on scripting content and its HTML/CSS behavior, with metadata as a binding gate plus DOM/CSS, userscript-manager APIs…
cyfung1031/userscript-supports
Update the Greasy Fork Dark userscript's existing hard-coded // general CSS snapshot to the latest Greasy Fork application CSS while preserving the owner's dark palette, comments, selector-specific…
cyfung1031/userscript-supports
Preserve-source CSS transformation for standalone CSS and CSS embedded in JavaScript, TypeScript, HTML, or user scripts.
cyfung1031/userscript-supports
Safe authenticated GitHub pull-request publication and review.
cyfung1031/userscript-supports
Coordinate bounded subagent work for analysis, coding, review, simulation, research, and handoff tasks.
Default first-line, domain-agnostic meta-reasoning control for choosing the right path. Pick Invariant is an agent skill from cyfung1031/userscript-supports. Default first-line, domain-agnostic meta-reasoning control for choosing the right path.
Pick Invariant fits situations like: resolve an undecided choice; narrow an exploration; audit an invariant; investigate an owner-identified gap.
Run `npx skills add cyfung1031/userscript-supports --skill pick-invariant -a claude-code`. Or copy the skill folder (agent-skills/pick-invariant in cyfung1031/userscript-supports) into .claude/skills/pick-invariant in your project. Claude Code loads it when a task matches its description.
Run `npx skills add cyfung1031/userscript-supports --skill pick-invariant -a codex`. Or copy the skill folder (agent-skills/pick-invariant in cyfung1031/userscript-supports) into .agents/skills/pick-invariant in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cyfung1031/userscript-supports --skill pick-invariant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pick-invariant, .gemini/skills/pick-invariant, .github/skills/pick-invariant and .opencode/skills/pick-invariant in your project.
SKILL.md names no scripts, command-line tools or credentials: Pick Invariant is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Pick Invariant is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 28k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Pick Invariant: Deepseek Reason (ruvnet/ruflo, 74k stars), Sitemap Domain (thedaviddias/Front-End-Checklist, 74k stars), Domain Driven Design (davila7/claude-code-templates, 33k stars) and Domain Modeling and Glossary (windmill-labs/windmill, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
cyfung1031 (a GitHub user) maintains it in cyfung1031/userscript-supports, which has 121 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 8, 2026.
Source: cyfung1031/userscript-supports on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.