{"slug":"camusgit-experiment-iterative-coder","name":"experiment-iterative-coder","description":"Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft).","long_description":"---\nname: experiment-iterative-coder\ndescription: \"Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft).\"\nallowed-tools: \"write_file edit_file read_file think_tool execute\"\nmetadata:\n  author: EvoQuant\n  version: '1.0.0'\n  tags: [core, code-generation, iteration, refinement]\n---\n\n# Iterative Coder\n\nIterative code refinement through structured plan → code → evaluate → refine cycles. Each cycle runs objective checks (lint, tests) and self-evaluation, then diagnoses failures and plans targeted improvements. Reaches production quality in 3-8 iterations.\n\n## When to Use This Skill\n\n- Main agent delegates a code task prefixed with \"MODE: MORE_EFFORT\"\n- User selected \"More Effort\" mode for code generation\n- Task requires high code quality with verified correctness\n- Task involves complex implementation (5+ files, multiple modules)\n- You want to iterate on code quality rather than submit first-pass code\n- You mention \"iterative refinement\", \"code quality loop\", \"plan-code-evaluate\"\n\n## The Iteration Mindset\n\n**Code quality comes from fast feedback loops, not careful first attempts.** A fast plan → code → evaluate → fix cycle beats spending 30 minutes on a \"perfect\" first implementation. The evaluate step reveals problems you cannot predict by thinking alone — lint errors, import failures, test regressions, and missing edge cases all surface immediately when you actually run the code.\n\n## Before Starting: Load Context\n\n1. Read `/memory/experiment-memory.md` for proven strategies from past cycles (skip if it doesn't exist)\n2. Identify existing tests, linting config (pyproject.toml, ruff.toml), or CI setup in the workspace\n3. Check available tools:\n   ```bash\n   ruff --version 2>&1; echo \"---\"; python -m pytest --version 2>&1\n   ```\n   If either is missing, you will skip that check during evaluation (do not fail the iteration).\n\n## Phase Decomposition\n\nBefore iterating, analyze the task and break it into sequential phases:\n\n| Task Complexity | Recommended Phases |\n|-----------------|-------------------|\n| Single file, well-defined function | 1 phase |\n| 2-4 files, clear interfaces | 2 phases |\n| 5+ files, multiple interacting modules | 3-5 phases |\n\nFor each phase, define:\n- **Name**: concise label (e.g., \"Data loading pipeline\")\n- **Goal**: what \"done\" looks like for this phase\n- **Verification signal**: how to confirm the phase is complete (specific test, lint clean, output matches)\n\nOrder phases by dependency — later phases may build on earlier ones.\n\n## The Iteration Loop\n\nFor each phase, iterate up to **3 times**. Global maximum: **10 iterations** across all phases.\n\n### Step 1: Plan\n\nRead current code and previous evaluation feedback (if any). Write a concise improvement plan.\n\n**First iteration of a phase**: Write an initial implementation plan based on the phase goal.\n\n**Subsequent iterations**: Analyze the last evaluation's feedback and diagnose the root cause of failures before planning changes. Do not repeat the same approach that already failed.\n\nAdapt your plan based on the failure mode from the last evaluation:\n\n| Last Failure | Planned Response |\n|-------------|-----------------|\n| Timeout | Add `--quick`/`--smoke` mode, reduce data size, add early stopping |\n| Syntax Error | Simplify logic, run `python -c \"import ast; ast.parse(open('file.py').read())\"` to validate before running |\n| Import Error | Check `pip list`, use only installed packages, add missing deps to requirements |\n| Test Failure | Focus on the specific failing test, make minimal targeted changes |\n| Lint Failure | Run `ruff check --fix . && ruff format .` before any logic changes |\n| Low self-assessment | Re-read the original task requirements, check for missing functionality |\n\n### Step 2: Code\n\nImplement the plan. Keep changes focused on what the plan specifies.\n\n- Do not rewrite working files unless the plan explicitly requires it\n- After writing code, do a quick sanity read of the changed files\n\n### Step 3: Evaluate\n\n**CRITICAL: You MUST run these commands every iteration. Do not skip evaluation.**\n\n```bash\n# 1. Lint check\nruff check . 2>&1 | tail -20\necho \"LINT_EXIT: $?\"\n\n# 2. Format check\nruff format --check . 2>&1 | tail -10\necho \"FORMAT_EXIT: $?\"\n\n# 3. Run tests (only if test files exist in workspace)\npython -m pytest -x -q --tb=short 2>&1 | tail -30\necho \"TEST_EXIT: $?\"\n```\n\nIf `ruff` is not installed, skip checks 1-2. If `pytest` is not installed or no test files exist, skip check 3. Record which checks were skipped.\n\n### Step 4: Score\n\nCompute a composite score from objective signals and self-assessment.\n\n**Objective signals** (from Step 3 exit codes):\n- `LINT_EXIT=0` → lint_score = 1.0, else lint_score = 0.0\n- `FORMAT_EXIT=0` → format_score = 1.0, else format_score = 0.0\n- `TEST_EXIT=0` → test_score = 1.0, else parse pass ratio from pytest output (e.g., \"3 passed, 1 failed\" → 0.75)\n\n**Self-assessment** (rate 0.0 – 1.0):\nEvaluate on: correctness (does the code do what was asked?), completeness (all requirements addressed?), error handling (reasonable edge cases covered?), readability (clear names, structure).\n\n**Composite score** — dynamic weighting based on available signals:\n- Lint + tests available: `0.2 × lint + 0.1 × format + 0.3 × test + 0.4 × self`\n- Lint only (no tests): `0.3 × lint + 0.1 × format + 0.6 × self`\n- Tests only (no ruff): `0.4 × test + 0.6 × self`\n- Neither available: `1.0 × self`\n\n**Self-assessment hard caps** — prevent score inflation from self-assessment:\n- If lint check FAILED → composite capped at **0.4**, regardless of self-assessment\n- If any test FAILED → composite capped at **0.6**\n- Only claim composite ≥ 0.85 if BOTH lint and tests pass AND implementation is complete\n- Deductions: missing error handling for obvious cases (−0.1), hardcoded absolute paths (−0.05)\n\nSee [references/evaluation-protocol.md](references/evaluation-protocol.md) for detailed scoring edge cases.\n\n### Step 5: Decide\n\n- Composite score **≥ 0.85** → advance to next phase (or finish if last phase)\n- Composite score **< 0.85** → return to Step 1 with evaluation feedback\n- **Phase iteration limit reached** (3 per phase) → advance to next phase anyway, note remaining issues\n- **Global iteration limit reached** (10 total) → stop, output current best result\n\n### Step 6: Log\n\n**CRITICAL: Append to `/artifacts/iteration_log.md` after every iteration.**\n\nUse the template at [assets/iteration-log-template.md](assets/iteration-log-template.md):\n\n```markdown\n## Iteration {N} (Phase {M}/{T})\n- **Score**: {composite} (lint={X} format={X} test={X} self={X})\n- **Lint**: passed/failed ({N} issues)\n- **Tests**: passed/failed ({passed}/{total})\n- **Changes**: [{files changed}]\n- **Feedback**: [{key evaluation findings}]\n- **Next**: continue / next_phase / done\n```\n\n## Completion\n\nAfter all phases complete or global iteration limit is reached:\n\n1. **Report** to the caller:\n   - Total iterations used\n   - Final composite score\n   - Key improvements per phase (1-2 sentences each)\n2. **List** all output file paths (code, configs, tests)\n3. **Note** remaining issues: lint warnings, missing tests, known limitations, TODOs\n\n## Counterintuitive Iteration Rules\n\n1. **Fix lint before logic**: Lint errors compound — one import error masks all test failures downstream. Always run `ruff check --fix .` before investigating logic bugs.\n\n2. **3 iterations is enough per phase**: If you cannot fix it in 3 targeted iterations, the problem is architectural (wrong decomposition), not incremental. Advance to the next phase or re-plan rather than iterating further.\n\n3. **Tests reveal more than reading**: Running tests for 10 seconds teaches you more about correctness than reading code for 5 minutes. Always run tests, even when you are confident the code is correct.\n\n4. **Score drops are information**: If your composite score drops after a change, that is a signal about what matters. Analyze why it dropped before undoing the change.\n\n5. **Don't gold-plate**: 0.85 is the target, not 1.0. Diminishing returns kick in hard above 0.9. Ship and iterate in the next conversation if needed.\n\n## Skill Integration\n\n### Before Starting (load memory)\nRefer to **evo-memory** → Read `/memory/experiment-memory.md` for prior strategies\n\n### On Failure (stuck after max iterations)\nRefer to **experiment-craft** → 5-step diagnostic flow to understand the root cause before retrying\n\n### On Success (all phases complete, score ≥ 0.85)\nReport to the main agent → main agent continues pipeline (data-analysis, writing, etc.)\n\n### Handoff Artifacts\n\n| Artifact | Location | Used By |\n|----------|----------|---------|\n| Iteration log | `/artifacts/iteration_log.md` | Main agent summary, evo-memory ESE |\n| Final code | Workspace root | Next pipeline step |\n| Test results | Iteration log entries | data-analysis-agent |\n\n## Reference Navigation\n\n| Topic | Reference File | When to Use |\n|-------|---------------|-------------|\n| Scoring rules and edge cases | [evaluation-protocol.md](references/evaluation-protocol.md) | When scoring edge cases arise (partial tests, missing tools) |\n| Iteration log template | [iteration-log-template.md](assets/iteration-log-template.md) | Every iteration (Step 6) |\n","tagline":"Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. 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issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"212 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":51,"weight":0.08,"status":"warn","detail":"212 stars, 3 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"5d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":72,"weight":0.12,"status":"info","detail":"command execution surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":62,"weight":0.07,"status":"info","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"212 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"212 stars, 3 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"5d since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder"},{"status":"pass","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata"],"evidence":{"stars":"212 GitHub stars","repoActivity":"212 stars, 3 forks","lastPushed":"5d since push","license":"Apache-2.0","repository":"https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder","install":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","5d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":53,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","53/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Quality score needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","53/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":73,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","Permission surface: shell or command execution, filesystem or document access","High-risk permission hints: Shell or command execution","Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate experiment-iterative-coder before installing it in an agent workflow","research","Research agents workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder"]},{"id":"trust_score","label":"Trust score","status":"warn","score":77,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","212 GitHub stars","Apache-2.0"]},{"id":"audit_score","label":"Audit score","status":"warn","score":81,"required_for_auto_install":true,"detail":"Needs review","evidence":["Quality score needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":53,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"Apache-2.0","evidence":["Apache-2.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"5d since push","evidence":["5d since push"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":62,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/camusgit-experiment-iterative-coder/evals","api":"/api/agent/evals?slug=camusgit-experiment-iterative-coder","text":"/api/agent/evals?slug=camusgit-experiment-iterative-coder&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"camusgit-experiment-iterative-coder","name":"experiment-iterative-coder","description":"Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft).","category":"research","url":"https://www.openagentskill.com/skills/camusgit-experiment-iterative-coder","repository":"https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder","github_repo":"CamusGIT/EvoQuant"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add camusgit-experiment-iterative-coder"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"experiment-iterative-coder\" agent skill from https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"camusgit-experiment-iterative-coder\",\"task\":\"Install experiment-iterative-coder\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"experiment-iterative-coder\" as a Claude Code skill from https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"camusgit-experiment-iterative-coder\",\"task\":\"Install experiment-iterative-coder\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"experiment-iterative-coder\" from https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"camusgit-experiment-iterative-coder\",\"task\":\"Install experiment-iterative-coder\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/camusgit-experiment-iterative-coder/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/camusgit-experiment-iterative-coder"},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"212 GitHub stars","repoActivity":"212 stars, 3 forks","lastPushed":"5d since push","license":"Apache-2.0","repository":"https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder","install":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":81,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":70,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"5d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use experiment-iterative-coder in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 77/100 Strong shortlist","Audit: 81/100 Needs review","Safety: 53/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"camusgit-experiment-iterative-coder (experiment-iterative-coder)","install_command":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"camusgit-experiment-iterative-coder","task":"Use experiment-iterative-coder in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/camusgit-experiment-iterative-coder","api":"https://www.openagentskill.com/api/agent/skills/camusgit-experiment-iterative-coder","audit":"https://www.openagentskill.com/skills/camusgit-experiment-iterative-coder/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=camusgit-experiment-iterative-coder&task=Use%20experiment-iterative-coder%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20experiment-iterative-coder%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20experiment-iterative-coder%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/camusgit-experiment-iterative-coder/install","manifest":"https://www.openagentskill.com/api/registry/manifest/camusgit-experiment-iterative-coder"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"camusgit-experiment-iterative-coder","name":"experiment-iterative-coder","description":"Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft).","category":"research","url":"https://www.openagentskill.com/skills/camusgit-experiment-iterative-coder","repository":"https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder","github_repo":"CamusGIT/EvoQuant"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add camusgit-experiment-iterative-coder"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"experiment-iterative-coder\" agent skill from https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"camusgit-experiment-iterative-coder\",\"task\":\"Install experiment-iterative-coder\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"experiment-iterative-coder\" as a Claude Code skill from https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"camusgit-experiment-iterative-coder\",\"task\":\"Install experiment-iterative-coder\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"experiment-iterative-coder\" from https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"camusgit-experiment-iterative-coder\",\"task\":\"Install experiment-iterative-coder\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/camusgit-experiment-iterative-coder/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/camusgit-experiment-iterative-coder"},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"212 GitHub stars","repoActivity":"212 stars, 3 forks","lastPushed":"5d since push","license":"Apache-2.0","repository":"https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder","install":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":81,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":70,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"5d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface"],"agent_contract":{"task_input":"Use experiment-iterative-coder in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 77/100 Strong shortlist","Audit: 81/100 Needs review","Safety: 53/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"camusgit-experiment-iterative-coder (experiment-iterative-coder)","install_command":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"camusgit-experiment-iterative-coder","task":"Use experiment-iterative-coder in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/camusgit-experiment-iterative-coder","api":"https://www.openagentskill.com/api/agent/skills/camusgit-experiment-iterative-coder","audit":"https://www.openagentskill.com/skills/camusgit-experiment-iterative-coder/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=camusgit-experiment-iterative-coder&task=Use%20experiment-iterative-coder%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20experiment-iterative-coder%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20experiment-iterative-coder%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/camusgit-experiment-iterative-coder/install","manifest":"https://www.openagentskill.com/api/registry/manifest/camusgit-experiment-iterative-coder"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"browser-automation","title":"Browser automation"},{"slug":"workflow-automation","title":"Workflow automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":212,"starsLabel":"212","forks":3,"license":"Apache-2.0","qualityScore":70,"trustScore":77,"auditScore":81},"maintenance":{"status":"fresh","label":"5d since push","daysSincePush":5,"lastPushedAt":"2026-09-02T20:43:30+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata","Needs review"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":81,"risk_level":"needs_review","risk_label":"Needs review","quality_score":70,"trust_score":77,"maintenance_score":100,"security_score":83,"install_score":92,"warnings":["Quality score needs review","Stars/forks activity: 212 stars, 3 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":16.3,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add CamusGIT/EvoQuant --skill experiment-iterative-coder","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add camusgit-experiment-iterative-coder","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"experiment-iterative-coder\" agent skill from https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"camusgit-experiment-iterative-coder\",\"task\":\"Install experiment-iterative-coder\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"experiment-iterative-coder\" as a Claude Code skill from https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"camusgit-experiment-iterative-coder\",\"task\":\"Install experiment-iterative-coder\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"experiment-iterative-coder\" from https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Iterative code refinement through plan → code → evaluate → refine cycles. Runs lint checks (ruff), tests (pytest), and structured self-evaluation each cycle, then diagnoses failures and refines. Decomposes complex tasks into sequential phases, iterates up to 3 times per phase (10 total). Use when: the main agent delegates a code task with 'MODE: MORE_EFFORT', the user selects 'More Effort' code generation mode, or the task explicitly requests iterative refinement for higher code quality. Do NOT use for single-pass code generation (Lite mode), experiment pipeline orchestration (use experiment-pipeline), or diagnosing a specific experiment failure (use experiment-craft). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"camusgit-experiment-iterative-coder\",\"task\":\"Install experiment-iterative-coder\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder","github_repo":"CamusGIT/EvoQuant","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/camusgit-experiment-iterative-coder","repository":"https://github.com/CamusGIT/EvoQuant/tree/main/EvoQuant/skills/experiment-iterative-coder","api":"/api/agent/skills/camusgit-experiment-iterative-coder","install_api":"/api/skills/camusgit-experiment-iterative-coder/install"},"meta":{"created_at":"2026-09-03T20:03:04.864126+00:00","updated_at":"2026-09-03T20:03:05.021672+00:00","agent_friendly":true}}