Evaluate PR Tests
dotnet/maui
Reviews the tests added in a pull request for fix coverage, quality, edge cases and test type, and recommends lighter test types where they would do.
Run the SPARC Refinement and Completion phases — review code, improve test coverage, validate against specification, and generate documentation
$ npx skills add ruvnet/ruflo --skill sparc-refine -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ruvnet/ruflo sparc-refine --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/ruvnet/ruflo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ruflo-sparc/skills/sparc-refine .claude/skills/sparc-refine && 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 "sparc-refine" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-sparc/skills/sparc-refine into .claude/skills/sparc-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparc-refine", 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/ruvnet/ruflo/tree/main/plugins/ruflo-sparc/skills/sparc-refineType 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 ruvnet/ruflo --skill sparc-refine -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ruvnet/ruflo sparc-refine --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/ruflo-sparc/skills/sparc-refine .agents/skills/sparc-refine && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sparc-refine" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-sparc/skills/sparc-refine into .agents/skills/sparc-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparc-refine", 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 ruvnet/ruflo --skill sparc-refine -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ruvnet/ruflo sparc-refine --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/ruflo-sparc/skills/sparc-refine .cursor/skills/sparc-refine && 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 "sparc-refine" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-sparc/skills/sparc-refine into .cursor/skills/sparc-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparc-refine", 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/ruvnet/ruflo.git --path plugins/ruflo-sparc/skills/sparc-refine--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 ruvnet/ruflo --skill sparc-refine -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ruvnet/ruflo sparc-refine --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/ruflo-sparc/skills/sparc-refine .gemini/skills/sparc-refine && 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 "sparc-refine" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-sparc/skills/sparc-refine into .gemini/skills/sparc-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparc-refine", 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 ruvnet/ruflo sparc-refineInstalls 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 ruvnet/ruflo --skill sparc-refine -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/ruflo-sparc/skills/sparc-refine .github/skills/sparc-refine && 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 "sparc-refine" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-sparc/skills/sparc-refine into .github/skills/sparc-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparc-refine", 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 ruvnet/ruflo --skill sparc-refine -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ruvnet/ruflo sparc-refine --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ruvnet/ruflo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/ruflo-sparc/skills/sparc-refine .opencode/skills/sparc-refine && 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 "sparc-refine" agent skill from https://github.com/ruvnet/ruflo/tree/main/plugins/ruflo-sparc/skills/sparc-refine into .opencode/skills/sparc-refine/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sparc-refine", 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.
sparc-refineRun the SPARC Refinement and Completion phases — review code, improve test coverage, validate against specification, and generate documentation
Sparc Refine is an agent skill from ruvnet/ruflo. Run the SPARC Refinement and Completion phases — review code, improve test coverage, validate against specification, and generate documentation
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering Code review and Test coverage. The repository describes itself as: 🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory…. The licence is MIT.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 58e0ae7. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
mcp__plugin_ruflo-core_ruflo__memory_storemcp__plugin_ruflo-core_ruflo__memory_searchmcp__plugin_ruflo-core_ruflo__memory_retrievemcp__plugin_ruflo-core_ruflo__task_createmcp__plugin_ruflo-core_ruflo__task_updatemcp__plugin_ruflo-core_ruflo__task_completemcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-stepmcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-endmcp__plugin_ruflo-core_ruflo__neural_trainmcp__plugin_ruflo-core_ruflo__neural_predict…and 4 more on the same allowed-tools line.
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.
Sparc Refine loads about 1.5k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 500 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_search, mcp__pluginAutomated 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 ruvnet/ruflo at commit 58e0ae7, republished under its MIT licence (© ruvnet). 500 words, ~1,510 tokens.
.claude/skills/sparc-refine/SKILL.md (or your agent's skills folder).Run Phases 4 and 5 of the SPARC methodology: iteratively improve through code review and testing, then finalize with validation, documentation, and deployment readiness.
After the Architecture phase is complete and its gate has been passed. This skill covers the final two phases that bring a feature from implemented to production-ready.
Retrieve all prior artifacts — call mcp__plugin_ruflo-core_ruflo__memory_search with namespace sparc-phases and query for the feature slug. Load spec (acceptance criteria), pseudocode, and architecture.
Retrieve phase state — call mcp__plugin_ruflo-core_ruflo__memory_search with namespace sparc-state to confirm we are in Phase 4.
Code review — review the implementation against: a. Specification compliance: does every acceptance criterion have a corresponding code path? b. Architecture adherence: do modules follow the defined boundaries and dependency rules? c. Pseudocode fidelity: does the implementation match the designed algorithms? d. Code quality: naming conventions, single responsibility, error handling, no dead code e. Document findings as review comments
Test coverage analysis: a. Run existing tests and measure coverage b. Identify uncovered acceptance criteria c. Write missing tests:
Performance validation — if the spec includes performance constraints: a. Profile critical paths identified in the pseudocode b. Compare measured performance against constraint thresholds c. Optimize if thresholds are not met
Iterate — repeat steps 3-5 until:
Store refinement artifact — call mcp__plugin_ruflo-core_ruflo__memory_store with namespace sparc-phases, key refine-{feature-slug}, value: { status: "complete", reviewFindings: [...], coveragePercent: N, performanceResults: {...}, iterations: N }
Record trajectory step — call mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-step with refinement summary
Full regression — run the complete test suite to verify no regressions from refinement changes
Traceability matrix — build a matrix mapping every acceptance criterion to:
Documentation: a. Generate API documentation from code comments and type definitions b. Write usage examples for key public interfaces c. Update any existing documentation affected by the changes
Deployment readiness checklist:
Store completion artifact — call mcp__plugin_ruflo-core_ruflo__memory_store with namespace sparc-phases, key complete-{feature-slug}, value: { status: "complete", traceabilityMatrix: [...], documentationFiles: [...], deploymentChecklist: {...}, regressionResult: "pass" }
End trajectory — call mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-end with the full SPARC cycle summary
Train neural patterns — call mcp__plugin_ruflo-core_ruflo__neural_train with the successful SPARC cycle data to improve future predictions
Store learned pattern — call mcp__plugin_ruflo-core_ruflo__memory_store with namespace patterns, key sparc-{feature-slug}, value summarizing what worked, phase durations, and common blockers encountered
Present completion report — display the traceability matrix, deployment checklist, and final status. Suggest running /sparc advance to pass the final gate, or /sparc report for the full methodology report.
# Refinement: {Feature Name}
## Code Review Summary
- Critical issues: {N} (must be 0 to pass gate)
- High issues: {N}
- Medium issues: {N}
- Resolved: {N}/{total}
## Test Coverage
- Overall: {N}%
- New code: {N}%
- Acceptance criteria covered: {N}/{total}
## Performance
| Constraint | Target | Measured | Status |
|-----------|--------|----------|--------|
| Response time | <200ms | 145ms | Pass |
---
# Completion: {Feature Name}
## Traceability Matrix
| AC | Test | Code | Status |
|----|------|------|--------|
| AC-1 | test_xxx | service.ts:42 | Pass |
| AC-2 | test_yyy | controller.ts:18 | Pass |
| AC-3 | test_zzz | repository.ts:31 | Pass |
## Deployment Checklist
- [x] All tests passing
- [x] Documentation complete
- [x] Migrations prepared
- [x] Config documented
- [x] Rollback plan defined
- [x] Security reviewed
---
SPARC workflow complete. Run `/sparc report` for the full methodology report.© ruvnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/ruflo-sparc/skills/sparc-refine of ruvnet/ruflo.
Open the folder on GitHubat commit 58e0ae7
Sparc Refine 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 |
|---|---|---|---|---|---|---|
| Sparc Refine this skillruvnet/ruflo | 74k | — | ~1.5k | Automated safety check: Notes | MIT | |
| Evaluate PR Testsdotnet/maui | 23k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Reviewatelier-fashion/adlc-toolkit | 171 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Code Reviewpolyipseity/obsidian-terminal | 950 | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 | |
| Core Components Code Reviewcore-ds/core-components | 137 | — | ~5.4k | Automated safety check: Pass | MIT | |
| Reviewmhmzdev/the-holy-quran-app | 889 | — | ~907 | Automated safety check: Pass | MIT |
dotnet/maui
Reviews the tests added in a pull request for fix coverage, quality, edge cases and test type, and recommends lighter test types where they would do.
atelier-fashion/adlc-toolkit
Multi-agent code review covering correctness, quality, architecture, test coverage, and security
polyipseity/obsidian-terminal
A skill your agent uses when reviewing PRs, code changes, or conducting code audits in obsidian-terminal.
core-ds/core-components
Review a Pull Request or diff in the @alfalab/core-components UI library — correctness bugs, public API/breaking changes, accessibility, keyboard/focus/pointer interaction, component states…
mhmzdev/the-holy-quran-app
Review The Holy Qur'an app code against the project's own conventions — layering (UI → Bloc → Repo → DataProvider), bloc anatomy, Provider tier, configs tokens, class widgets, Hive typeId safety…
microsoft/apm
A skill your agent uses whenever a pull request is opened, reopened, or synchronized in microsoft/apm to assess whether and how the documentation corpus must change to stay truthful with the…
ruvnet/ruflo
Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.
ruvnet/ruflo
Runs claude-flow CLI security scans for input validation, path traversal, SQL injection, XSS, hardcoded secrets and known CVEs, and writes an audit report.
ruvnet/ruflo
Applies the SPARC method (specification, pseudocode, architecture, refinement, completion) with 17 specialized modes and multi-agent orchestration, from research to deployment.
ruvnet/ruflo
Coordinates a hierarchical swarm of specialized agents through the claude-flow CLI for work that spans several files or modules at once.
ruvnet/ruflo
Sets up and drives Ruflo, an npm-installed orchestration layer for multi-agent swarms, persistent memory, routing, hooks and its MCP tool catalog.
ruvnet/ruflo
Reference for spawning, listing, monitoring and stopping agents with claude-flow commands, with agent type families, routing codes and coordination tips.
Categories
Run the SPARC Refinement and Completion phases — review code, improve test coverage, validate against specification, and generate documentation. Sparc Refine is an agent skill from ruvnet/ruflo.
Sparc Refine fits situations like: tasks that involve Code review; tasks that involve Test coverage.
Run `npx skills add ruvnet/ruflo --skill sparc-refine -a claude-code`. Or copy the skill folder (plugins/ruflo-sparc/skills/sparc-refine in ruvnet/ruflo) into .claude/skills/sparc-refine in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ruvnet/ruflo --skill sparc-refine -a codex`. Or copy the skill folder (plugins/ruflo-sparc/skills/sparc-refine in ruvnet/ruflo) into .agents/skills/sparc-refine 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 ruvnet/ruflo --skill sparc-refine -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sparc-refine, .gemini/skills/sparc-refine, .github/skills/sparc-refine and .opencode/skills/sparc-refine in your project.
SKILL.md names no scripts, command-line tools or credentials: Sparc Refine is instructions for the agent only. Its frontmatter pre-approves these tools: mcp__plugin_ruflo-core_ruflo__memory_store, mcp__plugin_ruflo-core_ruflo__memory_search, mcp__plugin_ruflo-core_ruflo__memory_retrieve, mcp__plugin_ruflo-core_ruflo__task_create, mcp__plugin_ruflo-core_ruflo__task_update, mcp__plugin_ruflo-core_ruflo__task_complete, mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-step, mcp__plugin_ruflo-core_ruflo__hooks_intelligence_trajectory-end, mcp__plugin_ruflo-core_ruflo__neural_train, mcp__plugin_ruflo-core_ruflo__neural_predict, Bash, Read, Write, Edit.
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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Sparc Refine is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Sparc Refine: Evaluate PR Tests (dotnet/maui, 23k stars), Review (atelier-fashion/adlc-toolkit, 171 stars), Code Review (polyipseity/obsidian-terminal, 950 stars) and Core Components Code Review (core-ds/core-components, 137 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ruvnet (a GitHub user) maintains it in ruvnet/ruflo, which has 74,159 GitHub stars. The repository holds 264 skills in this directory. The repository was last updated on October 9, 2026.
Source: ruvnet/ruflo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.