Borrowing it
Nothing to install: this file belongs to usk6666/yorishiro-proxy. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/usk6666/yorishiro-proxy/main/.claude/skills/review-gate/SKILL.mdgit clone --depth 1 https://github.com/usk6666/yorishiro-proxyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/usk6666/yorishiro-proxy/review-gate)<a href="https://agentmods.dev/skills/usk6666/yorishiro-proxy/review-gate"><img src="https://agentmods.dev/badge/skills/usk6666/yorishiro-proxy/review-gate/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/usk6666/yorishiro-proxy/review-gate"><img src="https://agentmods.dev/badge/skills/usk6666/yorishiro-proxy/review-gate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.03355 |
| Opus 5 | $0.00015 | $0.01677 |
| Sonnet 5 | $0.00006 | $0.00671 |
| Haiku 4.5 | $0.00003 | $0.00335 |
Grade A, and why
review-gate scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/review-gate
A gate skill that runs code review and security review in parallel for a PR, and if issues are found, executes an auto-fix → re-review cycle for up to 2 rounds.
Argument Patterns
/review-gate <PR number>— Run full review cycle on the specified PR/review-gate <PR number> --issue <ISSUE_ID>— Explicitly specify Issue ID/review-gate— Run full review cycle on the PR associated with the current branch
Steps
Phase 1: Collect PR Information
1-1. Identify the PR
If an argument is provided:
- Use
<PR number>
If no argument is provided:
- Get the PR number for the current branch with
gh pr view --json number -q .number
1-2. Fetch PR Information
Fetch the following in parallel:
gh pr view <PR number> --json title,body,headRefName,baseRefName,number,url
gh pr diff <PR number> --name-only
1-3. Fetch Issue Information
If --issue is specified, use that.
Otherwise, extract the Issue ID in USK-XX format from the PR body,
and fetch details with mcp__linear-server__get_issue.
1-4. Build Context
Single source of truth. Other skills (
/orchestrate,/implement,/code-review,/security-review) must read these blocks from this section instead of redefining their own. Updating the architecture description in this one place propagates everywhere.
Product context:
yorishiro-proxy is a network proxy (MCP server) for AI agents.
Provides traffic interception, recording, and replay capabilities for vulnerability assessment.
Architecture: TCP Listener → Protocol Detection → Layer Stack (TCP→TLS→HTTP/1|HTTP/2→WS|gRPC|gRPC-Web|SSE|Raw)
→ Pipeline Steps (HostScope→HTTPScope→Safety→PluginPre→Intercept→Transform→PluginPost→Record [→ UpgradeStep])
→ Flow Recording (L7 Message + L4 Envelope.Raw) → MCP Tool
Data path packages (MITM triage targets):
internal/envelope/, internal/layer/, internal/connector/, internal/pipeline/,
internal/pluginv2/, internal/proxybuild/, internal/rules/, internal/safety/,
internal/flow/, internal/session/
Control plane (net/http allowed): internal/mcp/, cmd/, internal/selfupdate/
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 365 lines · 31 tokens per session scan A fcf37a16c4c3
review-gate is a skill published in the GitHub repository usk6666/yorishiro-proxy (16 stars, last pushed 3d ago), licensed Apache-2.0. It adds 31 tokens to every session and 3,355 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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trace-mcp-refactoring
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pwn-ai-agent-sast
Drive PWN::AI::Agent::SAST from pwneval.
m1nd-first
Use when investigating a repository, searching for implementation, reviewing changes, working from specs/docs, or preparing a risky code change in an environment where m1nd is available. This doctrine makes m1nd the first investigative layer before grep, glob, or manual file reads, except when the task is pure…
review-thread
Record review verdicts and run the StateNote review thread on an agent-operation instance — every ReviewRequest verdict is one atomic batch-direct-write that advances status and co-writes a reviewnote explaining why, and findings are corrected by appending notes rather than editing them.
audit-architecture
Audit module coupling, cohesion, hidden dependencies, and design smells. Use when conducting architecture reviews, evaluating design decisions, or identifying structural tech debt.