{"slug":"cherryhq-demand-first-review","name":"demand-first-review","description":"Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand.","long_description":"---\nname: demand-first-review\ndescription: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand.\n---\n\n# Demand-First Review\n\n## Principle\n\nAudit this causal chain before implementation quality:\n\n`root outcome or invariant → normalized demand → owning layer → contract → consumer`\n\nA call site proves usage, not legitimacy or shape. No call site raises the burden of proof, not an automatic rejection. Real demand may still have the wrong consumer or abstraction.\n\n## Workflow\n\nApply every step to each added API, channel, parameter, type, field, config, or extension point.\n\n### 1. Reconstruct the demand\n\nList every new surface and exact consumed dimension; one valid consumer does not justify unused fields. Trace current and linked consumers to their user outcome, business rule, or system invariant. Inspect adjacent implementations, then ask: without the current API and history, would the demand remain and would this contract still be natural? Do not rely only on the PR description.\n\n### 2. Audit consumer legitimacy\n\n- **Legitimate**: uses the correct owner and boundary.\n- **Compensating**: uses the nearest API and adds workarounds because the right capability is missing.\n- **Legacy-shaped**: reflects obsolete formats, transitional architecture, or history.\n- **Misplaced**: serves real demand in the wrong layer.\n\nParsing, retries, sequencing, duplicated state, check-then-act, or cross-layer access signal compensation. Treat these as unmet upstream demand, never endorsement of the current surface.\n\n### 3. Normalize related demands\n\nStrip names, historical formats, and workarounds from demand statements. Cluster by outcome, source of truth, owner, transaction, security, and lifecycle. Consolidate historical or caller-specific differences; keep contracts separate for genuine ownership, permission, atomicity, lifecycle, side-effect, or failure differences. Prefer a stable core with thin adapters, not duplicated workflows or a lowest-common-denominator API.\n\n### 4. Classify evidence\n\n- **Direct**: a legitimate current consumer uses the dimension.\n- **Committed**: a concrete consumer exists in the same change or linked near-term work.\n- **Architectural**: a minimal seam must precede consumers to protect a concrete invariant.\n- **Unsupported speculation**: only a possible future is named, without a concrete scenario, owner, or omission cost.\n\nDirect consumption proves pressure, not placement or shape.\n\n### 5. Test architectural demand\n\nFor a surface without a legitimate current consumer, require all five:\n\n1. A concrete consumer class or extension scenario;\n2. The owning layer and protected invariant;\n3. A causal omission cost, such as boundary violations, duplicated mechanisms, incompatible implementations, security gaps, or migration lock-in;\n4. Why the seam must exist before its first consumer; and\n5. The smallest stable mechanism that protects the invariant.\n\nReject \"future features\", \"flexibility\", \"centralization\", \"technical constraints\", or \"migration risk\" without linked evidence and a causal failure. If the test fails, defer or remove. If it passes, preserve only the minimal paved road and remove guessed dimensions.\n\n### 6. Check responsibility and overlap\n\nPlace behavior by ownership, not line count. Centralize security, permissions, transactions, invariants, and shared policy; leave presentation and caller-specific composition in consumers. Prefer try-the-operation when the owner can enforce atomically.\n\nCompare contracts by semantics, owner, permissions, exposure, atomicity, lifecycle, failure model, and cost. Shared data alone does not prove duplication; reuse only when these are equivalent.\n\n### 7. Decide, then review implementation\n\nChoose one outcome per surface or normalized group:\n\n- **Keep**: demand and shape are justified.\n- **Narrow**: remove unsupported dimensions.\n- **Split**: separate a valid core from unrelated concerns.\n- **Consolidate**: merge surfaces expressing one demand.\n- **Replace**: keep the demand, change consumer, owner, or abstraction.\n- **Defer**: do not commit a possible demand yet.\n- **Remove**: no demand remains or an equivalent contract owns it.\n\nReport root outcome, evidence, consumer legitimacy, essential differences, owner, alternatives, and decision first. Review implementation quality only for survivors.\n\n## Rationalization Guards\n\n| Claim | Response |\n|---|---|\n| \"The API is clean; the types are elegant.\" | Quality cannot justify existence. |\n| \"It has consumers.\" | Verify legitimacy and exact consumption; workarounds endorse nothing. |\n| \"It has no consumers.\" | Run the five-part architectural test; absence alone decides nothing. |\n| \"The export is unused; add a test.\" | Tests verify behavior; they do not create demand. |\n| \"The architecture will need it.\" | Name the invariant, causal omission cost, consumer class, why now, and minimal seam. |\n| \"A technical constraint requires it.\" | Trace the constraint to root demand; constraints are not axioms. |\n| \"Existence is the architect's call.\" | Authority neither exempts demand review nor reduces it to a nit. |\n| \"The caller can compute it in one line.\" | Place policy by ownership and invariants, not code length. |\n| \"The existing API returns the same data.\" | Compare full semantics before declaring duplication. |\n| \"These consumers differ slightly.\" | Prove differences are semantic, not historical or caller-specific. |\n| \"It is forward-compatible or additive.\" | Keep only concrete needs; additive contracts carry permanent cost. |\n\n## Red Flags\n\nPause and restart from Step 1 when:\n\n- Implementation comments accumulate before stating root demand, evidence, and legitimate consumers.\n- A call site is treated as proof that the contract belongs here or has the right shape.\n- Zero current consumption is treated as automatic rejection or permission to accept an architectural claim.\n- A compensating or hack-heavy consumer is used to freeze its workaround into the shared contract.\n\n## Calibration\n\n- Linked independent modules would otherwise import privileged internals: **keep the minimal registration seam; remove guessed knobs**.\n- A renderer parses raw errors and retries because no atomic operation exists: **replace the abstraction rather than expand the error taxonomy**.\n","tagline":"Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibili","category":"research","tags":["agent-skill"],"author":"CherryHQ","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"CherryHQ/cherry-studio","creatorName":"CherryHQ","creatorUrl":"https://github.com/CherryHQ","sourceUrl":"https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/cherryhq-demand-first-review#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. 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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":83,"level":"safe_to_install","label":"Safe to install with normal review","safety_tier":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","summary":"Good audit and safety signals with no high-risk permission hints in public metadata.","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_policy":"allow","reasons":["Safe-to-try audit","83/100 agent safety score"]},"auto_install_allowed":true,"human_review_required":false,"blocked":false,"audit_risk":"safe_to_try","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":[],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed","badge":"REVIEWED","auto_install_policy":"allow","auto_install_allowed":true,"blocked":false,"human_review_required":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","reasons":["Safe-to-try audit","83/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":88,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_allowed":false,"policy":"allow","human_review_required":true},"blockers":[],"warnings":["Permission surface: network or browser access, database access"],"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 demand-first-review before installing it in an agent workflow","research","Research agents workflows; 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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: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand. 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\":\"cherryhq-demand-first-review\",\"task\":\"Install demand-first-review\",\"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 \"demand-first-review\" as a Claude Code skill from https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review. 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: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand. 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\":\"cherryhq-demand-first-review\",\"task\":\"Install demand-first-review\",\"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 \"demand-first-review\" from https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review 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: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand. 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\":\"cherryhq-demand-first-review\",\"task\":\"Install demand-first-review\",\"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/cherryhq-demand-first-review/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/cherryhq-demand-first-review"},"trust":{"score":86,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"51K GitHub stars","repoActivity":"51K stars, 4.8K forks","lastPushed":"Pushed today","license":"AGPL-3.0","repository":"https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review","install":"npx skills add CherryHQ/cherry-studio --skill demand-first-review","installSafety":"standard package or runtime install path","permissionSurface":"network or browser access, database 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":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["research","agent-skill"],"known_risks":[]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. 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Reviewed; Low metadata risk","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":"cherryhq-demand-first-review","task":"Use demand-first-review 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/cherryhq-demand-first-review","api":"https://www.openagentskill.com/api/agent/skills/cherryhq-demand-first-review","audit":"https://www.openagentskill.com/skills/cherryhq-demand-first-review/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=cherryhq-demand-first-review&task=Use%20demand-first-review%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20demand-first-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20demand-first-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/cherryhq-demand-first-review/install","manifest":"https://www.openagentskill.com/api/registry/manifest/cherryhq-demand-first-review"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"cherryhq-demand-first-review","name":"demand-first-review","description":"Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand.","category":"research","url":"https://www.openagentskill.com/skills/cherryhq-demand-first-review","repository":"https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review","github_repo":"CherryHQ/cherry-studio"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Inspect repository metadata","Compare code changes"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add CherryHQ/cherry-studio --skill demand-first-review","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install cherryhq-demand-first-review"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"demand-first-review\" agent skill from https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review. 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: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand. 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\":\"cherryhq-demand-first-review\",\"task\":\"Install demand-first-review\",\"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 \"demand-first-review\" as a Claude Code skill from https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review. 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: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand. 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\":\"cherryhq-demand-first-review\",\"task\":\"Install demand-first-review\",\"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 \"demand-first-review\" from https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review 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: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand. 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\":\"cherryhq-demand-first-review\",\"task\":\"Install demand-first-review\",\"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/cherryhq-demand-first-review/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/cherryhq-demand-first-review"},"trust":{"score":86,"label":"Production candidate","version":"trust-score-v4","install_policy":"agent_install_candidate","evidence":{"stars":"51K GitHub stars","repoActivity":"51K stars, 4.8K forks","lastPushed":"Pushed today","license":"AGPL-3.0","repository":"https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review","install":"npx skills add CherryHQ/cherry-studio --skill demand-first-review","installSafety":"standard package or runtime install path","permissionSurface":"network or browser access, database 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":true,"sandbox_required":true,"reason":"Trust Score v4 allows sandbox-first agent installation after normal workspace review."},"best_for":["research","agent-skill"],"known_risks":[]},"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":91,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"safety_gate":{"tier":"reviewed","label":"Reviewed","auto_install_policy":"allow","auto_install_allowed":true,"human_review_required":false,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow."},"quality":{"score":94,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Safe to try"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","No major trust warnings detected from available 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 demand-first-review in an agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"allow","minimum_review_before_use":["Trust: 86/100 Production candidate","Audit: 91/100 Safe to try","Safety: 83/100 Safe to install with normal review","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"cherryhq-demand-first-review (demand-first-review)","install_command":"npx skills add CherryHQ/cherry-studio --skill demand-first-review","risk_summary":"Safe to try; Reviewed; Low metadata risk","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":"cherryhq-demand-first-review","task":"Use demand-first-review in an agent 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notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/cherryhq-demand-first-review","api":"https://www.openagentskill.com/api/agent/skills/cherryhq-demand-first-review","audit":"https://www.openagentskill.com/skills/cherryhq-demand-first-review/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=cherryhq-demand-first-review&task=Use%20demand-first-review%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20demand-first-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20demand-first-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/cherryhq-demand-first-review/install","manifest":"https://www.openagentskill.com/api/registry/manifest/cherryhq-demand-first-review"}},"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":"github-automation","title":"GitHub automation"},{"slug":"browser-automation","title":"Browser automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add CherryHQ/cherry-studio --skill demand-first-review","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":50908,"starsLabel":"51K","forks":4844,"license":"AGPL-3.0","qualityScore":94,"trustScore":86,"auditScore":91},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-22T13:03:53+00:00"},"risk":{"level":"safe_to_try","label":"Safe to try","requiresReview":false,"notes":["No major risk signals from available metadata"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":91,"risk_level":"safe_to_try","risk_label":"Safe to try","quality_score":94,"trust_score":86,"maintenance_score":100,"security_score":85,"install_score":92,"warnings":[]},"quality_signals":{"model":"v2","star_score":32.95,"usage_score":0,"review_score":5.7,"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":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"security-compliance","title":"Security and compliance","url":"https://www.openagentskill.com/use-cases/security-compliance"}],"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":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"}],"install":"npx skills add CherryHQ/cherry-studio --skill demand-first-review","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install cherryhq-demand-first-review","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 \"demand-first-review\" agent skill from https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review. 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: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand. 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\":\"cherryhq-demand-first-review\",\"task\":\"Install demand-first-review\",\"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 \"demand-first-review\" as a Claude Code skill from https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review. 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: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand. 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\":\"cherryhq-demand-first-review\",\"task\":\"Install demand-first-review\",\"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 \"demand-first-review\" from https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review 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: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand. 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\":\"cherryhq-demand-first-review\",\"task\":\"Install demand-first-review\",\"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/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review","github_repo":"CherryHQ/cherry-studio","version":"1.0.0","license":"AGPL-3.0","urls":{"web":"https://www.openagentskill.com/skills/cherryhq-demand-first-review","repository":"https://github.com/CherryHQ/cherry-studio/tree/main/.agents/skills/demand-first-review","api":"/api/agent/skills/cherryhq-demand-first-review","install_api":"/api/skills/cherryhq-demand-first-review/install"},"meta":{"created_at":"2026-08-20T13:23:00.274184+00:00","updated_at":"2026-08-22T13:21:03.371347+00:00","agent_friendly":true}}