rijuls-review

rijuls-review is a skill for Claude Code, Codex from Rijul1204/rashedul-agentic-engineering. It costs 209 tokens per session (12,878 once invoked), scanned A, original, MIT.

A multi-perspective review process for a plan, design document, pull request, or code change. Four reviewers examine it from software, engineering, AI education, and product viewpoints, then another reviewer combines their findings.

In plain words
What is it for?
Stress-test technical plans, product designs, pull requests, and implementation changes. It produces a deduplicated list of issues from highest priority to lowest.
Why use it?
It exposes risks and omissions that one reviewer may miss. It requires written reasons for confidence scores and ranks problems by severity.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions subagents; mentions Codex.

Good fit Stress-test technical plans, product designs, pull requests, and implementation changes. It produces a deduplicated list of issues from highest priority to lowest.

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Install with agentmods
npx agentmods add skills/rijul1204/rashedul-agentic-engineering/rijuls-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Rijul1204/rashedul-agentic-engineering --skill rijuls-review
Clone the repo
git clone --depth 1 https://github.com/Rijul1204/rashedul-agentic-engineering

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for rijuls-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/rijul1204/rashedul-agentic-engineering/rijuls-review/github.svg)](https://agentmods.dev/skills/rijul1204/rashedul-agentic-engineering/rijuls-review)
Your own site
<a href="https://agentmods.dev/skills/rijul1204/rashedul-agentic-engineering/rijuls-review"><img src="https://agentmods.dev/badge/skills/rijul1204/rashedul-agentic-engineering/rijuls-review/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.

agentmods 80×15 button for rijuls-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/rijul1204/rashedul-agentic-engineering/rijuls-review"><img src="https://agentmods.dev/badge/skills/rijul1204/rashedul-agentic-engineering/rijuls-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 209 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 12,878 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00209 $0.12878
Opus 5 $0.00105 $0.06439
Sonnet 5 $0.00042 $0.02576
Haiku 4.5 $0.00021 $0.01288

Measured 10d ago against content hash 4e3ba2749d67, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

rijuls-review 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.

skills/rijuls-review/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Rijul's Review

A four-hat adversarial review — each hat an independent agent — that ends in per-role confidence scores and ranked P0–P3 findings, reconciled by a fifth deduplicator agent into one master list. Its purpose is to catch what a single-perspective read misses and to force the reviewer to justify both low confidence (what's broken/risky) and high confidence (why it's actually solid, plus residual risk) — never a bare number. A clean pass here is necessary-not-sufficient: the four hats are the same model reading the same author's framing (correlated, not statistically independent), so an independent-model (Codex) pass remains the real merge gate — this review front-loads and cheapens that pass, it does not replace it.

Each hat's full method + output shape lives in its own references/role-*.md file (passed verbatim as that hat's sub-agent prompt); the shared severity scale, per-finding required fields, and verdict vocabulary live in references/finding-format.md. This SKILL.md is the orchestrator: the Hard Rules every hat applies, the hats table, and the five-agent execution mode. See Targeting & relationship to /code-review at the bottom for the artifact forms it accepts.

Hard rules (non-negotiable)

  1. A review is static inspection only unless Rijul explicitly asks for verification. Do NOT run tests, lint, format, typecheck, knip, builds, quality gates, browser smoke, database probes, dependency installation, or any other executable verification during a review. Read the diff, source, callers, tests, configs, and existing check results; reason from that evidence. You may identify a missing or inadequate test/gate as a finding, but do not execute it and do not make review completion contingent on running it. Only cross this boundary when Rijul separately and explicitly asks to test, verify, reproduce, smoke, or run gates.
  2. Read everything first. No file left unread. Before scoring, open every file the artifact names or depends on — the files to be modified, the files to be created (read their siblings/templates), the files referenced as "unchanged" reference points, the call sites, the test fixtures, and the immediate collaborators of each. If the artifact cites file:line, open that file and verify the line says what's claimed. Grep to confirm "no other importers" / "only consumer" / "already does X" claims rather than trusting them. List the files you read in the output so the user can audit coverage.
  3. Four hats, four independent scores. Score from each role separately. Do not average into one number — each hat sees different risk.
  4. Justify low AND high.
    • < 80%: you MUST explain why — the specific gaps, unverified assumptions, missing tests, edge cases, or risks that hold the score down, and what would raise it.
    • > 90%: you MUST also explain why — what concretely makes it strong (verified claims, covered edge cases, reversibility, test coverage) AND the residual risk that keeps it from 100%.
    • 80–90%: explain the main reservation in one or two lines.
  5. Verify, don't trust. Every load-bearing claim in the artifact gets independently checked against the code. Call out any claim that turns out to be wrong, stale, or unverifiable. A confidently-worded claim that you could not verify is a confidence deduction, not a pass.
  6. Pyramid principle. Lead each role with the score + the one-sentence verdict, then the justification.
  7. Cost, not just correctness. A change that compiles, passes every test, and is logically correct can still be a defect if it is slow by construction — most often an N+1: a per-item query or await inside a loop over a collection. Lint / typecheck / unit tests are structurally blind to it (an N+1 is correct, just slow), and it hides behind small local/test data, surfacing only at real volume. For any read over a collection, the reviewer MUST ask: does the query count stay constant as the collection grows, or scale with it? If it scales — a per-row await, an unbatched lookup, an unbounded SELECT, a filtered column with no index — that is a finding to flag, even when nothing fails.
  8. jsdom-green ≠ browser-correct for native DOM/event semantics. A change that passes a jsdom unit test can still be wrong in a real browser whenever it leans on native behavior jsdom models loosely: event propagation across the React root, focus, showModal() / ::backdrop / inert, native document/window listeners, layout/measurement, or UA pseudo-classes (:modal). jsdom false-passes these. So a load-bearing claim about such behavior is verified in a real browser (Chrome MCP), not accepted because a jsdom test is green — and a jsdom test asserting such behavior is itself suspect (a "spec-faithful fixture" trap; a green test proving a browser fact can be a false negative for bugs). Corollary bug class the Engineer hat MUST check whenever a native <dialog> modal is introduced: keyboard shortcuts still fire behind it. showModal() blocks POINTER input but NOT keydowns, and React's synthetic stopPropagation() does NOT reliably stop native document/window listeners (React 18 delegates at the root container) — so every shortcut that can be live while the modal is open must stand down (guard each handler on dialog[open], e.g. isModalDialogOpen(); a dialog-boundary stopPropagation is not enough). Audit BOTH source-sets: (1) top-level global shortcuts, AND (2) shortcuts on components that stay mounted behind the modal — most-missed: an editor left mounted while a delete confirm opens over it (its Cmd+S / Cmd+K leak). The only handler you leave unguarded is one registered by the modal itself — and verify a handler's consumer scope by grep before calling it "modal-scoped," don't assume. Ordering matters: for an app-owned chord that overrides a browser-reserved key (Cmd+O / Cmd+S / Cmd+K, "/"), call preventDefault() on the matched chord FIRST, THEN the isModalDialogOpen() early-return — a guard that returns before preventDefault suppresses the app action but lets the chord fall through to the browser's native action (Open File / Save Page / address-bar / quick-find) behind the modal. Second corollary — focus-return on close. When an overlay/dialog conditionally renders its OWN trigger (!open ? <trigger> : <overlay>), do NOT set the focus-restore target by reading document.activeElement inside the open-effect — by the time that effect runs the closed-state trigger has already unmounted, so it captures <body> and closing DROPS keyboard focus. The restore target must be captured synchronously (before the trigger unmounts) or be a stable ref to the remounting trigger; also latch "was ever open" so page-load doesn't steal focus, and suppress the refocus on a route-change close (navigation shouldn't yank focus back to the trigger). jsdom implements focus()/activeElement enough to pin the ref wiring in a test, but the visible focus ring + route-change-close behavior are a real-browser check. Third corollary — custom (non-native) modals are invisible to a dialog[open] guard. A shortcut guard that queries only dialog[open] (native showModal() dialogs) does NOT see a custom role="dialog"/aria-modal overlay (a portaled <div>), so every global shortcut (Cmd+O go-to-file, "/", Cmd+S, tree-nav) still fires BEHIND it. When a change introduces a custom modal overlay, it MUST opt into the guard (e.g. a data-app-modal marker the guard also queries) — AND any shortcut that is the overlay's OWN control (the chord that toggles/closes it) must use a native-only probe, or it stands down against its own overlay and can no longer close it.

Read the full file on GitHub · 180 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 10d ago First seen · 180 lines · 209 tokens per session scan A 4e3ba2749d67

Subscribe to this mod's changes

rijuls-review is a skill published in the GitHub repository Rijul1204/rashedul-agentic-engineering (2 stars, last pushed 1mo ago), licensed MIT. It adds 209 tokens to every session and 12,878 once invoked, about $0.0010 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 2026-08-31.

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