{"slug":"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","name":"auto-paper-improvement-loop","description":"Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper.","long_description":"---\nname: auto-paper-improvement-loop\ndescription: \"Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper.\"\nargument-hint: \"[paper-directory] [— style-ref: ] [— edit-whitelist ]\"\nallowed-tools: Bash(*), Read, Write, Edit, Grep, Glob, mcp__codex__codex, mcp__codex__codex-reply\n---\n\n# Auto Paper Improvement Loop: Review → Fix → Recompile\n\n> 🔒 **Do not wrap this skill in `/loop`, `/schedule`, or `CronCreate`.** It\n> already loops internally (review → fix → recompile) with its own round\n> structure and a deliberate fresh-reviewer bias guard each round (no\n> `codex-reply`). Re-asking it to \"improve the paper\" on a\n> wall-clock timer produces no new signal — quality changes when the *review*\n> changes, not when the clock ticks — and a timed re-run that also accepts its\n> own output to decide when to stop crosses into self-acquittal\n> (`acceptance-gate.md`). Schedule the *external wait that precedes it*, not the\n> improvement loop. See\n> [`shared-references/external-cadence.md`](../shared-references/external-cadence.md).\n\nAutonomously improve the paper at: **$ARGUMENTS**\n\n## Context\n\nThis skill is designed to run **after** Workflow 3 (`/paper-plan` → `/paper-figure` → `/paper-write` → `/paper-compile`). It takes a compiled paper and iteratively improves it through external LLM review.\n\nUnlike `/auto-review-loop` (which iterates on **research** — running experiments, collecting data, rewriting narrative), this skill iterates on **paper writing quality** — fixing theoretical inconsistencies, softening overclaims, adding missing content, and improving presentation.\n\n## Constants\n\n- **MAX_ROUNDS = 2** — Two rounds of review→fix→recompile. Empirically, Round 1 catches structural issues (4→6/10), Round 2 catches remaining presentation issues (6→7/10). Diminishing returns beyond 2 rounds for writing-only improvements.\n- **REVIEWER_MODEL = `gpt-5.6-sol`** — Model used via Codex MCP for paper review.\n- **REVIEWER_BIAS_GUARD = true** — When `true`, every review round uses a fresh `mcp__codex__codex` thread with no prior review context. Never use `mcp__codex__codex-reply` for review rounds. Set to `false` only for deliberate debugging of the legacy behavior. **Empirical evidence:** running the same paper with `codex-reply` + \"since last round we did X\" prompts inflated scores from real 3/10 → fake 8/10 across multiple rounds; switching to fresh threads recovered the true 3/10 assessment.\n- **REVIEW_LOG = `PAPER_IMPROVEMENT_LOG.md`** — Cumulative log of all rounds, stored in paper directory.\n- **HUMAN_CHECKPOINT = false** — When `true`, pause after each round's review and present score + weaknesses to the user. The user can approve fixes, provide custom modification instructions, skip specific fixes, or stop early. When `false` (default), runs fully autonomously.\n- **EDIT_WHITELIST = `null`** — Optional path to a YAML/JSON whitelist file constraining which paths and operations the fix-implementation step may touch. When `null` (default), all edits proceed unconstrained. When set via `— edit-whitelist ` (also accepts `— edit_whitelist `), the loop loads the file at startup and consults it before each edit; rejected edits are logged to `PAPER_IMPROVEMENT_LOG.md` rather than silently dropped. See \"Optional: Edit Whitelist\" below.\n\n> 💡 Override: `/auto-paper-improvement-loop \"paper/\" — human checkpoint: true`\n\n## Optional: Style reference (`— style-ref: `, opt-in)\n\nLets the user steer **structural fixes only** during improvement (section reordering hints, paragraph length nudges, figure density adjustments) toward a reference paper. **Default OFF — when the user does not pass `— style-ref`, do nothing differently from before.**\n\nOnly when `— style-ref: ` appears in `$ARGUMENTS`, run the helper FIRST, before the loop starts:\n\n```bash\n# Resolve $STYLE_HELPER via the canonical strict-safe chain (see\n# shared-references/integration-contract.md §2). Policy A — gate:\n# unresolved helper means --style-ref cannot be satisfied, so abort.\ncd \"$(git rev-parse --show-toplevel 2>/dev/null || pwd)\" || exit 1\nif [ -z \"${ARIS_REPO:-}\" ] && [ -f .aris/installed-skills.txt ]; then\n ARIS_REPO=$(awk -F'\\t' '$1==\"repo_root\"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null) || true\nfi\nif [ -z \"${ARIS_REPO:-}\" ] && [ -f \"$HOME/.aris/repo\" ]; then\n ARIS_REPO=$(cat \"$HOME/.aris/repo\" 2>/dev/null) || true\nfi\nSTYLE_HELPER=\".aris/tools/extract_paper_style.py\"\n[ -f \"$STYLE_HELPER\" ] || STYLE_HELPER=\"tools/extract_paper_style.py\"\n[ -f \"$STYLE_HELPER\" ] || { [ -n \"${ARIS_REPO:-}\" ] && STYLE_HELPER=\"$ARIS_REPO/tools/extract_paper_style.py\"; }\n[ -f \"$STYLE_HELPER\" ] || {\n echo \"ERROR: extract_paper_style.py not resolved at .aris/tools/, tools/, \\$ARIS_REPO/tools/, or via ~/.aris/repo.\" >&2\n echo \" Fix: rerun bash tools/install_aris.sh or smart_update.sh (refreshes ~/.aris/repo), export ARIS_REPO, or copy the helper to tools/.\" >&2\n echo \" --style-ref cannot be satisfied; aborting.\" >&2\n exit 1\n}\nSTYLE_STATUS=0\nCACHE=$(python3 \"$STYLE_HELPER\" --source \"\") || STYLE_STATUS=$?\ncase \"$STYLE_STATUS\" in\n 0) ;; # use $CACHE/style_profile.md as structural guidance for the FIX phase only\n 2) echo \"warning: style-ref skipped (missing optional dep)\" >&2 ;;\n 3) echo \"error: --style-ref source failed; aborting loop\" >&2 ; exit 1 ;;\n *) echo \"error: helper failed unexpectedly; aborting loop\" >&2 ; exit 1 ;;\nesac\n```\n\nSources accepted: local TeX dir / file, local PDF, arXiv id, http(s) URL. Overleaf URLs/IDs are rejected — clone via `/overleaf-sync setup ` first and pass the local clone path.\n\n**Strict rules** (full contract in `tools/extract_paper_style.py` docstring):\n\n- Use `style_profile.md` only during the **fix-implementation** phase, to nudge structural choices when applying reviewer feedback. Reviewer feedback always takes precedence; style ref is tie-breaker for *how* to apply a fix, not *whether* to apply it.\n- **Never copy prose, claims, examples, or terminology** from anything reachable through the cache when implementing fixes.\n- **Never pass `— style-ref` (or the cache contents) to the GPT-5.6-Sol reviewer sub-agent.** The Reviewer Independence Protocol below requires reviewers see only the artifact and the user's prompt — leaking the style ref would contaminate the review with author-side context. **This is the most critical invariant in this skill.**\n\n## Optional: Edit Whitelist (`— edit-whitelist `, opt-in)\n\nLets the caller hard-constrain which files and operations the **fix-implementation** step (Step 3 / Step 6) is allowed to touch. **Default OFF — when the user does not pass `— edit-whitelist` (or the alias `— edit_whitelist`), the loop applies all reviewer-driven edits without restriction, exactly as before.**\n\nThis is the parameter that upstream pipelines (e.g. `/resubmit-pipeline` Phase 2) use to enforce text-only resubmit microedits: no `.bib` mutations, no `.sty` / `.bst` mutations, no edits to prior-submission directories, no new `\\cite{...}`, no new theorem environments, no new numerical claims.\n\n### Schema\n\nThe whitelist file is YAML or JSON. All four sections are optional:\n\n```yaml\nallowed_paths:\n - sec/*.tex\n - main.tex\n - figures/*.tex\nforbidden_paths:\n - \"**/*.bib\"\n - \"**/*.sty\"\n - \"**/*.bst\"\n - \"../OldSubmission/**\"\nforbidden_operations:\n - new_cite # blocks \\cite{...}, \\citep{...}, \\citet{...}, \\citeauthor{...} additions\n - new_bibitem # blocks \\bibitem{...} additions\n - new_theorem_env # blocks \\begin{theorem|lemma|proposition|corollary} additions\n - numerical_claim # blocks adding new numbers / percentages / metrics\nforbidden_deletions: # operations that block REMOVALS, not additions\n - delete_existing_cite # blocks removal of \\cite{...} from the body (use citation-audit --soft-only instead)\n - delete_theorem_env # blocks removal of an existing \\begin{theorem|...} block\nrequires_user_approval_for: # operations that don't auto-reject but pause for explicit user OK\n - rewrite_abstract # paraphrasing the entire abstract triggers a checkpoint\n - rewrite_intro_first_para\n - delete_section\nmax_edits_per_round: 30 # hard cap on number of accepted edits per round (rejections are not counted; if cap is hit, remaining proposed edits are deferred to the next round with a warning)\nrationale: \"Resubmit mode: text-only microedits, paper structure frozen by user constraint.\"\n```\n\n### Resolution rules\n\n- **`allowed_paths` empty AND `forbidden_paths` empty** → whitelist is a no-op (advisory: the file is loaded and `rationale` echoed to the log, but no path filtering is applied).\n- **`allowed_paths` empty, `forbidden_paths` non-empty** → all paths NOT matched by `forbidden_paths` are mutable.\n- **`allowed_paths` non-empty, `forbidden_paths` empty** → only paths matching `allowed_paths` are mutable.\n- **Both non-empty** → an edit is allowed iff the target matches `allowed_paths` AND does NOT match `forbidden_paths`. `forbidden_paths` always wins on overlap.\n- **`forbidden_operations` missing or empty** → no operation-level guard; only path-level filtering applies.\n\n### Glob semantics\n\nUse bash `extglob` / Python `fnmatch.fnmatch` semantics. `**` matches any depth (zero or more directory segments). Patterns are matched against the path **relative to the paper directory** (e.g. `paper/sec/intro.tex` matches `sec/*.tex` when paper-directory is `paper/`).\n\n### Forbidden-operation detectors\n\nFor each candidate edit's diff (the new lines being added — deletions are exempt), the loop runs these regex checks and rejects if any forbidden operation matches:\n\n| Operation | Detector (added lines only) |\n|-----------|------------------------------|\n| `new_cite` | `\\\\cite[a-zA-Z]*\\{[^}]+\\}` (catches `\\cite`, `\\citep`, `\\citet`, `\\citeauthor`, `\\citeyear`, `\\citealp`, etc.) |\n| `new_bibitem` | `\\\\bibitem\\{[^}]+\\}` |\n| `new_theorem_env` | `\\\\begin\\{(theorem|lemma|proposition|corollary)\\*?\\}` |\n| `numerical_claim` | New token matching `\\b\\d+(\\.\\d+)?%?\\b` that did NOT appear in the deleted/replaced lines (i.e. genuinely new numbers, not edits to existing ones) |\n\n### Behavior at loop start (before Round 1 fix-implementation)\n\n1. If `— edit-whitelist ` is present in `$ARGUMENTS`, set `EDIT_WHITELIST = `.\n2. Load the file (`yaml.safe_load`; if it fails, fall back to `json.loads`). On load failure, abort the loop with a clear error — do NOT silently proceed unconstrained.\n3. Echo `rationale` (if present) into `PAPER_IMPROVEMENT_LOG.md` under a new \"Edit Whitelist\" preamble section so the audit trail records why edits were constrained.\n\n### Behavior during fix-implementation (Steps 3 and 6)\n\nBefore applying each proposed edit:\n\n1. Resolve target file path relative to the paper directory.\n2. Path check: if `allowed_paths` is non-empty, target must match at least one pattern. Then if `forbidden_paths` is non-empty, target must NOT match any pattern. If either fails → reject as `path` violation.\n3. Operation check: build the unified diff (or just the set of newly-added lines) for the proposed edit. For each entry in `forbidden_operations`, run its detector on the added lines. If any detector matches → reject as `operation` violation.\n4. If all checks pass, apply the edit normally.\n5. If rejected, append an entry to `PAPER_IMPROVEMENT_LOG.md` under a `## Rejected by edit_whitelist (Round N)` heading with this schema:\n ```\n - file: \n reason: path | operation\n pattern: \n reviewer_concern: \n ```\n6. Continue with the remaining edits in the round. Do NOT abort the whole round ","tagline":"Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper.","category":"research","tags":["research","research-automation","paper-writing","agent-skill"],"author":"wanshuiyin","verified":false,"attribution":{"status":"agent_submitted","statusLabel":"Agent submitted","shortLabel":"AGENT SUBMITTED","sourceLabel":"Agent submitted","sourceDetail":"wanshuiyin/Auto-claude-code-research-in-sleep","creatorName":"wanshuiyin","creatorUrl":"https://github.com/wanshuiyin","sourceUrl":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":15640,"forks":1362,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":64.49},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"16K","tone":"positive"},{"label":"Freshness","value":"2d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible."]},"trust":{"version":"trust-score-v5","score":63,"base_score":71,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["63/100 Trust Score v5","71/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","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"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"16K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":94,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":46,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop"},{"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":18,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","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":"pass","label":"GitHub adoption","detail":"16K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop"},{"status":"info","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":"pass","label":"OpenAgentSkill usage","detail":"4 views, 0 install copies"},{"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","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"16K GitHub stars","repoActivity":"16K stars, 1.4K forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop","install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","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","2d since push","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","research-automation","paper-writing","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","trust_score":63,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["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"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","research-automation","paper-writing","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":["The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":71,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v5":{"version":"trust-score-v5","score":63,"base_score":71,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["63/100 Trust Score v5","71/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","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"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"16K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":94,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":46,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop"},{"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":18,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","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":"pass","label":"GitHub adoption","detail":"16K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop"},{"status":"info","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":"pass","label":"OpenAgentSkill usage","detail":"4 views, 0 install copies"},{"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","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; 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issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":94,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":46,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop"},{"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":18,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","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":"pass","label":"GitHub adoption","detail":"16K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"16K stars, 1.4K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop"},{"status":"info","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":"pass","label":"OpenAgentSkill usage","detail":"4 views, 0 install copies"},{"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","Large GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"evidence":{"stars":"16K GitHub stars","repoActivity":"16K stars, 1.4K forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop","install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","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","2d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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","research-automation","paper-writing","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":["The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":41,"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":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access","41/100 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"},{"id":"secrets","label":"Secrets or environment access","reason":"Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.","severity":"high"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface 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":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access","41/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":75,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: secrets or environment access, shell or command execution","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: secrets or environment access, shell or command execution"],"warnings":["Trust score: Potentially useful, but at least one trust signal needs human inspection.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","The argument hint uses an em dash (—) instead of double hyphen (--) for options like 'style-ref' and 'edit-whitelist', which could lead to parsing errors in some environments.","The skill relies on external MCP tools (mcp__codex__codex) that may not be installed or configured, potentially limiting portability.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"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":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate auto-paper-improvement-loop before installing it in an agent workflow","research","Workflow automation workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop"]},{"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 wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop"]},{"id":"trust_score","label":"Trust score","status":"warn","score":71,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","16K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":85,"required_for_auto_install":true,"detail":"Needs review","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":41,"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.","Metadata combines secrets access with shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":94,"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":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"2d since push","evidence":["2d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":18,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","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/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop/evals","api":"/api/agent/evals?slug=wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","text":"/api/agent/evals?slug=wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","name":"auto-paper-improvement-loop","description":"Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper.","category":"research","url":"https://www.openagentskill.com/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop","github_repo":"wanshuiyin/Auto-claude-code-research-in-sleep"},"suited_tasks":["Workflow automation workflows","Claude Code teams","teams that value GitHub adoption signals","Move data between tools","Transform files","Trigger repeatable actions","Navigate local resources","Run repeatable desktop actions"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","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 wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"auto-paper-improvement-loop\" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop. 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: Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop\",\"task\":\"Install auto-paper-improvement-loop\",\"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 \"auto-paper-improvement-loop\" as a Claude Code skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop. 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: Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop\",\"task\":\"Install auto-paper-improvement-loop\",\"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 \"auto-paper-improvement-loop\" from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop 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: Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop\",\"task\":\"Install auto-paper-improvement-loop\",\"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/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop"},"trust":{"score":71,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"16K GitHub stars","repoActivity":"16K stars, 1.4K forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop","install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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","research-automation","paper-writing","agent-skill"],"known_risks":["The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":85,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","The argument hint uses an em dash (—) instead of double hyphen (--) for options like 'style-ref' and 'edit-whitelist', which could lead to parsing errors in some environments.","The skill relies on external MCP tools (mcp__codex__codex) that may not be installed or configured, potentially limiting portability.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":100,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"2d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","The argument hint uses an em dash (—) instead of double hyphen (--) for options like 'style-ref' and 'edit-whitelist', which could lead to parsing errors in some environments.","The skill relies on external MCP tools (mcp__codex__codex) that may not be installed or configured, potentially limiting portability."],"agent_contract":{"task_input":"Use auto-paper-improvement-loop 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: 71/100 Manual review","Audit: 85/100 Needs review","Safety: 41/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop (auto-paper-improvement-loop)","install_command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","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":"","skill_slug":"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","task":"Use auto-paper-improvement-loop 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/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","api":"https://www.openagentskill.com/api/agent/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","audit":"https://www.openagentskill.com/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop&task=Use%20auto-paper-improvement-loop%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20auto-paper-improvement-loop%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20auto-paper-improvement-loop%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop/install","manifest":"https://www.openagentskill.com/api/registry/manifest/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","name":"auto-paper-improvement-loop","description":"Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper.","category":"research","url":"https://www.openagentskill.com/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop","github_repo":"wanshuiyin/Auto-claude-code-research-in-sleep"},"suited_tasks":["Workflow automation workflows","Claude Code teams","teams that value GitHub adoption signals","Move data between tools","Transform files","Trigger repeatable actions","Navigate local resources","Run repeatable desktop actions"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","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 wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"auto-paper-improvement-loop\" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop. 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: Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop\",\"task\":\"Install auto-paper-improvement-loop\",\"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 \"auto-paper-improvement-loop\" as a Claude Code skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop. 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: Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop\",\"task\":\"Install auto-paper-improvement-loop\",\"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 \"auto-paper-improvement-loop\" from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop 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: Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop\",\"task\":\"Install auto-paper-improvement-loop\",\"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/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop"},"trust":{"score":71,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"16K GitHub stars","repoActivity":"16K stars, 1.4K forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop","install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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","research-automation","paper-writing","agent-skill"],"known_risks":["The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":85,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","The argument hint uses an em dash (—) instead of double hyphen (--) for options like 'style-ref' and 'edit-whitelist', which could lead to parsing errors in some environments.","The skill relies on external MCP tools (mcp__codex__codex) that may not be installed or configured, potentially limiting portability.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":100,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"2d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","The argument hint uses an em dash (—) instead of double hyphen (--) for options like 'style-ref' and 'edit-whitelist', which could lead to parsing errors in some environments.","The skill relies on external MCP tools (mcp__codex__codex) that may not be installed or configured, potentially limiting portability."],"agent_contract":{"task_input":"Use auto-paper-improvement-loop 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: 71/100 Manual review","Audit: 85/100 Needs review","Safety: 41/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop (auto-paper-improvement-loop)","install_command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","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":"","skill_slug":"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","task":"Use auto-paper-improvement-loop 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/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","api":"https://www.openagentskill.com/api/agent/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","audit":"https://www.openagentskill.com/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop&task=Use%20auto-paper-improvement-loop%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20auto-paper-improvement-loop%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20auto-paper-improvement-loop%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop/install","manifest":"https://www.openagentskill.com/api/registry/manifest/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop"}},"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":"RAG and knowledge","description":"I need my agent to build a RAG workflow over documents and retrieve reliable context.","useCases":[{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"local-desktop","title":"Local desktop"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":15640,"starsLabel":"16K","forks":1362,"license":"MIT","qualityScore":100,"trustScore":71,"auditScore":85},"maintenance":{"status":"fresh","label":"2d since push","daysSincePush":2,"lastPushedAt":"2026-09-02T14:49:53+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","The argument hint uses an em dash (—) instead of double hyphen (--) for options like 'style-ref' and 'edit-whitelist', which could lead to parsing errors in some environments.","The skill relies on external MCP tools (mcp__codex__codex) that may not be installed or configured, potentially limiting portability."]},"coverageTags":["Research","RAG and knowledge","research-automation","paper-writing","agent-skill"]},"audit":{"audit_score":85,"risk_level":"needs_review","risk_label":"Needs review","quality_score":100,"trust_score":71,"maintenance_score":100,"security_score":72,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill references a specific model 'gpt-5.6-sol' which may not be available or may be a placeholder; this could cause runtime failures if the model is not accessible.","The argument hint uses an em dash (—) instead of double hyphen (--) for options like 'style-ref' and 'edit-whitelist', which could lead to parsing errors in some environments.","The skill relies on external MCP tools (mcp__codex__codex) that may not be installed or configured, potentially limiting portability.","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"quality_signals":{"model":"v2","star_score":29.36,"usage_score":0,"review_score":13.13,"metadata_score":7,"freshness_score":15},"platforms":["Claude Code","OpenAI Agents"],"use_cases":[{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"}],"stacks":[{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"}],"install":"npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop","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 wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","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 \"auto-paper-improvement-loop\" agent skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop. 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: Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop\",\"task\":\"Install auto-paper-improvement-loop\",\"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 \"auto-paper-improvement-loop\" as a Claude Code skill from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop. 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: Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop\",\"task\":\"Install auto-paper-improvement-loop\",\"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 \"auto-paper-improvement-loop\" from https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop 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: Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \\\"改论文\\\", \\\"improve paper\\\", \\\"论文润色循环\\\", \\\"auto improve\\\", or wants to iteratively polish a generated paper. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop\",\"task\":\"Install auto-paper-improvement-loop\",\"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/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop","github_repo":"wanshuiyin/Auto-claude-code-research-in-sleep","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","repository":"https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop","api":"/api/agent/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop","install_api":"/api/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop/install"},"meta":{"created_at":"2026-09-02T15:01:10.714007+00:00","updated_at":"2026-09-02T15:01:11.400666+00:00","agent_friendly":true}}