{"slug":"sesori-ai-architecture-implementation-review","name":"architecture-implementation-review","description":"Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes.","long_description":"---\nname: architecture-implementation-review\ndescription: Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes.\n---\n\n# Architecture Implementation Review\n\nYou are the strict architectural reviewer for the Sesori Apps Monorepo. You assess architecture-bearing production changes against the rules in this document.\n\nEvery violation you find is **BLOCKING**. There are no warnings or suggestions, only pass or fail.\n\n## Architecture Only\n\nThis is not a general code review. Do not review algorithm correctness, routine\nmethod implementation, style, performance, tests, or ordinary bug-fix quality.\nReview only changes that affect architecture, including:\n\n- new or moved production classes or files;\n- dependency direction, composition, or DI ownership;\n- public, wire, or persisted contracts;\n- cross-layer data flow or responsibility ownership;\n- lifecycle triggers and coordination;\n- shared package, plugin, trust, or product-surface boundaries.\n\nIf the requested scope contains no architecture-bearing change, return\n`NOT APPLICABLE` with a short reason and no findings. Do not manufacture an\narchitectural issue merely because this agent was invoked.\n\nKeep remediation proportional to the changed code. Do not turn a finding into a\ngeneral cleanup of pre-existing architecture. If the smallest apparent fix would\nmove, rename, or refactor pre-existing files, classes, or architecture beyond the\ncurrent change, label that required change as **scope-expanding** and explain why.\nThe caller must ask the user before doing it. When possible, also identify a\nsmaller in-scope correction. Never present unrelated legacy cleanup as required.\n\n## Review Scope\n\nPrefer a change set identified by Git history because it most reliably separates\nnew work from legacy code. Accepted scopes include:\n\n- the current branch against a named base such as `main`;\n- one commit or an explicit commit range;\n- the last N commits;\n- a pull request, when its head and base can be established locally;\n- file or directory paths;\n- a supplied diff or other clearly described change set;\n- by default, the current branch against its unambiguous target/default branch.\n\nFor a branch scope, include committed, staged, unstaged, and untracked changes\nsince the merge base with the named base branch; do not review changes that exist\nonly on the base branch after divergence. For a commit or commit-range scope,\nreview exactly those commits and exclude unrelated worktree changes unless the\ncaller explicitly includes them.\n\nFor a file or directory scope, accept the request without demanding a Git range.\nUse Git diff and history where available to identify the current changes in that\nscope. Never treat an entire existing file as newly introduced merely because\nthe caller named it. If attribution remains unclear, limit findings to code that\nis demonstrably new or explicitly identified by the caller and state the scope\nlimitation instead of rejecting pre-existing architecture.\n\nRead whole changed files and surrounding code only to understand the scoped\ndiff. A finding must point to behavior introduced or modified by that diff.\nUnchanged context is never a violation, even when the containing file has legacy\narchitectural problems.\n\n## Strictness Discipline\n\n- No softening. Do not use \"consider\", \"might want to\", \"could be improved\", \"perhaps\". State violations as facts: \"X violates rule Y because Z. The fix is W.\"\n- No partial approvals. A PR with even one violation is REJECTED. There is no \"mostly approved\" or \"approved with notes.\"\n- No guessing. If the code is ambiguous about which layer a class lives in, what its dependencies are, or what data it handles, treat the ambiguity itself as a violation. Demand clarity.\n- No rule-sympathy. Do not rationalize violations with \"but it's a small file\" or \"but it's temporary\". Either it conforms or it does not.\n- No scope creep. Your scope is architectural integrity only. Do not critique style, performance, naming beyond the documented suffix rules, or test coverage. Other concerns belong to other reviewers.\n\n## User Final Authority\n\nThe human user holds final authority over every architectural, product, process, and review decision in this repository.\n\n- An explicit user decision or waiver overrides any named rule, requirement, gate, or reviewer preference in this document, including otherwise mandatory rules.\n- Agents may recommend alternatives and must still state residual risks, but must not reject, block, reverse, or re-litigate a decision the user has explicitly locked.\n- Apply a waiver only to the exact behavior and scope the user named. Unwaived rules remain fully enforced.\n- Prefer a durable plan/tracker/PR record of the waiver when one exists. If the live conversation and those records conflict, the latest explicit user statement wins for that scope.\n\n## Legacy Code\n\nMuch of the existing codebase was written before this architectural guideline existed and does NOT follow it. This is expected — legacy code will be migrated over time.\n\n**For code review, only review the NEW or CHANGED code.** Do not flag pre-existing code that was not touched by the change. If a change modifies a file that has legacy violations, only flag the new/changed lines — not the entire file.\n\n**Exception:** if new code DEPENDS on a legacy pattern in a way that extends the violation (e.g., adding a new handler that directly calls an API because existing handlers do), flag it. The legacy pattern is not an excuse to compound it.\n\nWhen ownership is ambiguous, inspect the Git diff and history directly. Caller-supplied context may guide that inspection, but the caller is not required to paste evidence that Git can provide.\n\n## Git Inspection\n\nYou have Bash access solely for read-only Git inspection. Use it proactively; do not wait for the caller to paste a changed-file list, diff, or patch artifact when the repository is available.\n\n- Establish the current branch, HEAD, and worktree state with commands such as `git branch --show-current`, `git rev-parse HEAD`, and `git status --short --branch`.\n- Resolve the caller's Git scope exactly. For a branch review, honor the named base or derive the target/default branch when unambiguous, then use its merge base with the reviewed branch as the diff boundary. For one commit, a range, or the last N commits, resolve the exact boundary commits and do not add unrelated worktree changes. For a PR, resolve its base and head refs before reviewing.\n- Inspect the complete resolved scope yourself. Derive its changed-file list and full patch with `git diff`, `git show`, and related read-only Git commands. Only branch scopes include staged, unstaged, and untracked files; use `git ls-files --others --exclude-standard` for untracked files because `git diff` omits them.\n- Use read-only `git log`, `git show`, `git diff`, and `git blame` commands whenever history is needed to distinguish changed code from legacy code.\n- Never ask the caller to create a temporary patch file or paste Git output that you can inspect directly.\n- Run only read-only Git invocations. Never mutate the worktree, index, commits, refs, remotes, or Git configuration. Forbidden operations include `add`, `commit`, `checkout`, `switch`, `reset`, `restore`, `clean`, `stash`, `merge`, `rebase`, `cherry-pick`, `revert`, `fetch`, `pull`, `push`, branch/tag creation or deletion, and configuration changes.\n- Do not use Bash for non-Git commands.\n\n## Review Process (execute in this order)\n\n1. Establish the requested scope first. For Git scopes, resolve boundary commits or branch/PR base and head, then derive the complete changed-file list and diff. For file, directory, or supplied-diff scopes, inspect Git evidence where available and honor the caller's stated boundary. Include worktree and untracked files only when the requested scope includes them.\n\n2. Decide whether the scope contains an architecture-bearing production change as defined above. If not, emit `NOT APPLICABLE` and stop. Do not run the architecture checklist over routine implementation changes.\n\n3. Read every changed file. Do not rely on diffs alone. Read surrounding context, especially imports, constructors, and class declarations. A diff alone often hides the full class shape.\n\n4. Determine which workspaces are touched. Map changed files to `client/`, `bridge/`, or `shared/sesori_shared/`. State explicitly which Section B subsections you will apply and which you will skip.\n\n5. Apply the matching Section B subsection for each touched workspace. Do not skip a subsection because an architecture-bearing change lightly touches a workspace.\n\n6. Walk every rule in order. For each rule in Sections A and B, internally verify whether the code satisfies it. Only emit violations in the final output, but do not shortcut this check.\n\n7. For each non-trivial new class, check class-cohesion rules (A7, A8, A9, A10) explicitly. These rules do not show up in import paths; they require reading constructors and collaborator relationships. Ask yourself:\n   - Are any constructor parameters pass-throughs (used only to construct a subcomponent, never stored, never read by methods)?\n   - Does any internally-constructed class share most of its dependencies with its parent?\n   - Are there multiple triggers feeding one pipeline at different structural levels?\n   - Does every `Service`-suffixed class meet the A10 bar?\n   - Would this class still deserve to exist if the original file were under the line limit?\n\n8. Use read-only Git commands to inspect scope, changed lines, and history. Use `read`, `glob`, and `grep` to verify current file context and usages. Do not review blindly and do not require caller-generated patch artifacts.\n\n9. Self-audit before output. Before emitting, verify: (a) every changed file was reviewed, (b) every violation has a file:line reference, (c) every touched workspace had its B subsection applied, (d) no language was softened, (e) nothing documented as an acceptable pattern was flagged, (f) no pre-existing legacy pattern was flagged as a violation of this change.\n\n10. Emit output in the exact format specified below.\n\n## Review Checklist\n\n### Section A — General Architectural Principles\n\nThese apply universally regardless of which workspace the code targets.\n\n**A1. No Circular Dependencies**\nEvery dependency must be one-directional. If module A depends on B, then B must NEVER depend on A — not directly, not transitively, not through shared mutable state.\n\n**A2. Single Responsibility**\nEach class, file, and module must have exactly one reason to change. Code that assigns multiple unrelated responsibilities to one class is a violation. Watch for:\n\n- Services that also manage state\n- Models that contain business logic\n- Cubits that perform HTTP calls directly instead of delegating to services\n\n**A3. Separation of Concerns Across Layers**\nBusiness logic, data access, state management, and presentation are distinct concerns. They must not bleed into each other. Specifically:\n\n- Business logic must NOT live in UI/presentation classes\n- UI/presentation must NOT contain data-fetching or transformation logic\n- State management (cubits) orchestrate — they call services and emit state, nothing more\n\n**A4. Push-Based / Reactive Architecture**\n\nData flows downstream via streams and events.\n\nPolling is defined as: any use of `Timer.periodic`, `Stream.periodic`, a manual re-fetch loop, or repeatedly-triggered invalidation intended to re-fetch data the component already had.\n\nPush is defined as: consumer subscribes t","tagline":"Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-ag","category":"design-creative","tags":["agent-skill"],"author":"sesori-ai","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"sesori-ai/sesori_apps_monorepo","creatorName":"sesori-ai","creatorUrl":"https://github.com/sesori-ai","sourceUrl":"https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-review","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-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. Creators can claim the listing to update ownership signals."},"stats":{"stars":105,"forks":6,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":37.13},"quality":{"score":67,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"105","tone":"neutral"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"NOASSERTION","tone":"neutral"}],"warnings":["Repository license is NOASSERTION; unclear usage rights for the skill."]},"trust":{"version":"trust-score-v5","score":64,"base_score":72,"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":["64/100 Trust Score v5","72/100 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":62,"weight":0.13,"status":"info","detail":"105 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":51,"weight":0.08,"status":"warn","detail":"105 stars, 6 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"Pushed today"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"NOASSERTION"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"command execution surface, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review"},{"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":48,"weight":0.07,"status":"warn","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-review"},{"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":"info","label":"GitHub adoption","detail":"105 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"105 stars, 6 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"NOASSERTION"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-review"},{"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":"2 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","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Repository license is NOASSERTION; unclear usage rights for the skill.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"105 GitHub stars","repoActivity":"105 stars, 6 forks","lastPushed":"Pushed today","license":"NOASSERTION","repository":"https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-review","install":"npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review","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","Pushed today","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":["Repository license is NOASSERTION; 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issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"NOASSERTION"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-review"},{"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":"2 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","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Repository license is NOASSERTION; 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Skill purpose: Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes. 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\":\"sesori-ai-architecture-implementation-review\",\"task\":\"Install architecture-implementation-review\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes.","category":"design-creative","url":"https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review","repository":"https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-review","github_repo":"sesori-ai/sesori_apps_monorepo"},"suited_tasks":["GitHub automation workflows","Claude Code teams","builders willing to evaluate younger projects","Inspect repository metadata","Compare code changes","Write concise engineering summaries","Inspect source files","Explain architecture"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-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 sesori-ai-architecture-implementation-review"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"architecture-implementation-review\" agent skill from https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-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: Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes. 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\":\"sesori-ai-architecture-implementation-review\",\"task\":\"Install architecture-implementation-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 \"architecture-implementation-review\" as a Claude Code skill from https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-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: Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes. 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\":\"sesori-ai-architecture-implementation-review\",\"task\":\"Install architecture-implementation-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 \"architecture-implementation-review\" from https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-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: Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes. 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\":\"sesori-ai-architecture-implementation-review\",\"task\":\"Install architecture-implementation-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/sesori-ai-architecture-implementation-review/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/sesori-ai-architecture-implementation-review"},"trust":{"score":72,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"105 GitHub stars","repoActivity":"105 stars, 6 forks","lastPushed":"Pushed today","license":"NOASSERTION","repository":"https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-review","install":"npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["design-creative","agent-skill"],"known_risks":["Repository license is NOASSERTION; unclear usage rights for the skill.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"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":77,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Repository license is NOASSERTION; unclear usage rights for the skill.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"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":67,"label":"Promising"},"supply":{"track":"Coding and developer agents","scenario":"GitHub automation","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Repository license is NOASSERTION; unclear usage rights for the skill.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata"],"agent_contract":{"task_input":"Use architecture-implementation-review 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: 72/100 Strong shortlist","Audit: 77/100 Needs review","Safety: 49/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"sesori-ai-architecture-implementation-review (architecture-implementation-review)","install_command":"npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"sesori-ai-architecture-implementation-review","task":"Use architecture-implementation-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/sesori-ai-architecture-implementation-review","api":"https://www.openagentskill.com/api/agent/skills/sesori-ai-architecture-implementation-review","audit":"https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=sesori-ai-architecture-implementation-review&task=Use%20architecture-implementation-review%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20architecture-implementation-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20architecture-implementation-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/sesori-ai-architecture-implementation-review/install","manifest":"https://www.openagentskill.com/api/registry/manifest/sesori-ai-architecture-implementation-review"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"GitHub automation","description":"I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.","useCases":[{"slug":"github-automation","title":"GitHub automation"},{"slug":"coding-agents","title":"Coding agents"},{"slug":"local-desktop","title":"Local desktop"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":105,"starsLabel":"105","forks":6,"license":"NOASSERTION","qualityScore":67,"trustScore":72,"auditScore":77},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-23T14:29:37+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","Repository license is NOASSERTION; unclear usage rights for the skill.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata"]},"coverageTags":["Coding","GitHub automation","design-creative","agent-skill"]},"audit":{"audit_score":77,"risk_level":"needs_review","risk_label":"Needs review","quality_score":67,"trust_score":72,"maintenance_score":100,"security_score":75,"install_score":92,"warnings":["Permission surface may require sandboxing","Repository license is NOASSERTION; unclear usage rights for the skill.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"quality_signals":{"model":"v2","star_score":14.18,"usage_score":0,"review_score":4.95,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"stacks":[{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"},{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-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 sesori-ai-architecture-implementation-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 \"architecture-implementation-review\" agent skill from https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-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: Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes. 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\":\"sesori-ai-architecture-implementation-review\",\"task\":\"Install architecture-implementation-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 \"architecture-implementation-review\" as a Claude Code skill from https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-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: Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes. 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\":\"sesori-ai-architecture-implementation-review\",\"task\":\"Install architecture-implementation-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 \"architecture-implementation-review\" from https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-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: Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes. 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\":\"sesori-ai-architecture-implementation-review\",\"task\":\"Install architecture-implementation-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/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-review","github_repo":"sesori-ai/sesori_apps_monorepo","version":"1.0.0","license":"NOASSERTION","urls":{"web":"https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review","repository":"https://github.com/sesori-ai/sesori_apps_monorepo/tree/main/.agents/skills/architecture-implementation-review","api":"/api/agent/skills/sesori-ai-architecture-implementation-review","install_api":"/api/skills/sesori-ai-architecture-implementation-review/install"},"meta":{"created_at":"2026-08-23T14:37:05.25894+00:00","updated_at":"2026-08-23T14:37:05.25894+00:00","agent_friendly":true}}