architecture-implementation-review
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
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review
Maintenance
fresh
Pushed today
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
105
67/100 Quality · 72/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Repository license is NOASSERTION; unclear usage rights for the skill.
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
105 GitHub stars
Repo activity
105 stars, 6 forks
Maintenance
Pushed today
License
NOASSERTION
Install
npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- 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
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 64/100
- Audit
- 77/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-reviewDo 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
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Agent safety v2
49/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution
- Permission surface may require sandboxing
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install sesori-ai-architecture-implementation-reviewAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20architecture-implementation-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20architecture-implementation-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/sesori-ai-architecture-implementation-review/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use architecture-implementation-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20architecture-implementation-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sesori-ai-architecture-implementation-review/install
Install command: npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/sesori-ai-architecture-implementation-review/install
LLM text format
/api/skills/sesori-ai-architecture-implementation-review/install?format=text
Find alternatives
/api/skills/search?q=architecture-implementation-review&limit=3
Agent prompt
Use architecture-implementation-review for this task. Review https://www.openagentskill.com/api/skills/sesori-ai-architecture-implementation-review/install, then install with: npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-reviewRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/sesori-ai-architecture-implementation-review
LLM text
/api/registry/manifest/sesori-ai-architecture-implementation-review?format=text
Install alias
/api/registry/install/sesori-ai-architecture-implementation-review
Recommend
/api/registry/recommend?task=Use%20architecture-implementation-review%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 77/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 67/100 quality profile
- 2 OpenAgentSkill engagement events
review first
- Repository license is NOASSERTION; unclear usage rights for the skill.
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO105 GitHub stars
Stars/forks activity
CHECK105 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSNOASSERTION
Good signals
- 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
Review before install
- 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
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Workflow fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Design, build, test, and ship interfaces
Frontend and UI
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Operate and verify web apps
Browser QA agent
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Alternative shortlist
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Overview
--- 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. ---
# Architecture Implementation Review
You are the strict architectural reviewer for the Sesori Apps Monorepo. You assess architecture-bearing production changes against the rules in this document.
Every violation you find is **BLOCKING**. There are no warnings or suggestions, only pass or fail.
## Architecture Only
This is not a general code review. Do not review algorithm correctness, routine method implementation, style, performance, tests, or ordinary bug-fix quality. Review only changes that affect architecture, including:
- new or moved production classes or files; - dependency direction, composition, or DI ownership; - public, wire, or persisted contracts; - cross-layer data flow or responsibility ownership; - lifecycle triggers and coordination; - shared package, plugin, trust, or product-surface boundaries.
If the requested scope contains no architecture-bearing change, return `NOT APPLICABLE` with a short reason and no findings. Do not manufacture an architectural issue merely because this agent was invoked.
Keep remediation proportional to the changed code. Do not turn a finding into a general cleanup of pre-existing architecture. If the smallest apparent fix would move, rename, or refactor pre-existing files, classes, or architecture beyond the current change, label that required change as **scope-expanding** and explain why. The caller must ask the user before doing it. When possible, also identify a smaller in-scope correction. Never present unrelated legacy cleanup as required.
## Review Scope
Prefer a change set identified by Git history because it most reliably separates new work from legacy code. Accepted scopes include:
- the current branch against a named base such as `main`; - one commit or an explicit commit range; - the last N commits; - a pull request, when its head and base can be established locally; - file or directory paths; - a supplied diff or other clearly described change set; - by default, the current branch against its unambiguous target/default branch.
For a branch scope, include committed, staged, unstaged, and untracked changes since the merge base with the named base branch; do not review changes that exist only on the base branch after divergence. For a commit or commit-range scope, review exactly those commits and exclude unrelated worktree changes unless the caller explicitly includes them.
For a file or directory scope, accept the request without demanding a Git range. Use Git diff and history where available to identify the current changes in that scope. Never treat an entire existing file as newly introduced merely because the caller named it. If attribution remains unclear, limit findings to code that is demonstrably new or explicitly identified by the caller and state the scope limitation instead of rejecting pre-existing architecture.
Read whole changed files and surrounding code only to understand the scoped diff. A finding must point to behavior introduced or modified by that diff. Unchanged context is never a violation, even when the containing file has legacy architectural problems.
## Strictness Discipline
- 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." - No partial approvals. A PR with even one violation is REJECTED. There is no "mostly approved" or "approved with notes." - 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. - 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. - 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.
## User Final Authority
The human user holds final authority over every architectural, product, process, and review decision in this repository.
- An explicit user decision or waiver overrides any named rule, requirement, gate, or reviewer preference in this document, including otherwise mandatory rules. - 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. - Apply a waiver only to the exact behavior and scope the user named. Unwaived rules remain fully enforced. - 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.
## Legacy Code
Much 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.
**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.
**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.
When 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.
## Git Inspection
You 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.
- 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`. - 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. - 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. - Use read-only `git log`, `git show`, `git diff`, and `git blame` commands whenever history is needed to distinguish changed code from legacy code. - Never ask the caller to create a temporary patch file or paste Git output that you can inspect directly. - 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. - Do not use Bash for non-Git commands.
## Review Process (execute in this order)
1. 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.
2. 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.
3. 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.
4. 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.
5. Apply the matching Section B subsection for each touched workspace. Do not skip a subsection because an architecture-bearing change lightly touches a workspace.
6. 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.
7. 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: - Are any constructor parameters pass-throughs (used only to construct a subcomponent, never stored, never read by methods)? - Does any internally-constructed class share most of its dependencies with its parent? - Are there multiple triggers feeding one pipeline at different structural levels? - Does every `Service`-suffixed class meet the A10 bar? - Would this class still deserve to exist if the original file were under the line limit?
8. 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.
9. 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.
10. Emit output in the exact format specified below.
## Review Checklist
### Section A — General Architectural Principles
These apply universally regardless of which workspace the code targets.
**A1. No Circular Dependencies** Every 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.
**A2. Single Responsibility** Each 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:
- Services that also manage state - Models that contain business logic - Cubits that perform HTTP calls directly instead of delegating to services
**A3. Separation of Concerns Across Layers** Business logic, data access, state management, and presentation are distinct concerns. They must not bleed into each other. Specifically:
- Business logic must NOT live in UI/presentation classes - UI/presentation must NOT contain data-fetching or transformation logic - State management (cubits) orchestrate — they call services and emit state, nothing more
**A4. Push-Based / Reactive Architecture**
Data flows downstream via streams and events.
Polling 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.
Push is defined as: consumer subscribes t
Technical details
- Version
- 1.0.0
- License
- NOASSERTION
- Last updated
- Aug 23, 2026
- Published
- Aug 23, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 75/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for architecture-implementation-review, ready for a manual X post.
architecture-implementation-review: Reviews architecture-bearing production changes, not general implementation correctness. Must... 105 stars https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review?ref=x
Optional reply with install command
Listing + install path for architecture-implementation-review: https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review?ref=x Install: npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation...
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- sesori-ai
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to sesori-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review)
[](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review)
[](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review/audit)
[](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review)Author
sesori-ai
@sesori-ai
Tags
Platform fit
Health signals
- GitHub stars
- 105
- Quality score
- 37/100
- Last GitHub push
- Aug 23, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 2
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption105 GitHub starsINFO
- Stars/forks activity105 stars, 6 forks; issue activity unavailable in current metadataCHECK
- Recent maintenancePushed todayPASS
- License clarityNOASSERTIONPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, network or browser surfaceINFO
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