jarvis-plan-review

jarvis-plan-review is a skill for Claude Code from Ramsbaby/jarvis. It costs 74 tokens per session (763 once invoked), scanned A, original, MIT.

A rigorous review guide for feature plans, technical proposals, and architecture documents. It examines areas such as scope, security, deployment, testing, reliability, performance, and migration.

In plain words
What is it for?
Use it to review an RFC or design plan, test whether the problem and scope are clear, and identify gaps in architecture, operations, maintenance, and rollout.
Why use it?
It helps reveal missing decisions and risks before substantial implementation begins.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: built for gstack.

Part of the jarvis-plan-review plugin — 1 skill shipped together

Good fit Use it to review an RFC or design plan, test whether the problem and scope are clear, and identify gaps in architecture, operations, maintenance, and rollout.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ramsbaby/jarvis/plan-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 Ramsbaby/jarvis --skill plan-review
Clone the repo
git clone --depth 1 https://github.com/Ramsbaby/jarvis

Made for: Claude Code.

Or install jarvis-plan-review, the plugin that ships this one along with the rest of its 1 skill.

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 jarvis-plan-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/ramsbaby/jarvis/plan-review/github.svg)](https://agentmods.dev/skills/ramsbaby/jarvis/plan-review)
Your own site
<a href="https://agentmods.dev/skills/ramsbaby/jarvis/plan-review"><img src="https://agentmods.dev/badge/skills/ramsbaby/jarvis/plan-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 jarvis-plan-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/ramsbaby/jarvis/plan-review"><img src="https://agentmods.dev/badge/skills/ramsbaby/jarvis/plan-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 763 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00074 $0.00763
Opus 5 $0.00037 $0.00381
Sonnet 5 $0.00015 $0.00153
Haiku 4.5 $0.00007 $0.00076

Measured 9d ago against content hash f527561a8683, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

jarvis-plan-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 9d 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.

plugins/jarvis-plan-review/skills/plan-review/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/plan-review — 11-Section Rigorous Design Review

Reviews a feature plan, RFC, or architecture doc across 11 independent dimensions. Goal: push the plan to "best-in-class" — not to rubber-stamp it.

When to invoke

  • After writing a feature design doc or RFC
  • "Is this approach OK?" / "What did I miss?" / "Is there a better way?"
  • Before kicking off any nontrivial implementation

11 sections

  1. Problem definition — Is the problem stated precisely? What evidence supports it being worth solving?
  2. Scope boundaries — What is explicitly in scope, out of scope, and deferred?
  3. Architecture — Data flow, dependencies, blast radius of failure
  4. Security — Authentication, authorization, secrets handling, PII boundaries, threat model
  5. Observability — Logs, metrics, alerts, on-call playbook
  6. Deployment — Rollback strategy, gradual rollout, feature flags, dark launches
  7. Performance — Latency, throughput, cost budget, scaling assumptions
  8. Reliability — Failure modes, recovery paths, SLO targets
  9. Testing — Unit, integration, regression, chaos, load
  10. Maintainability — Code patterns, documentation, onboarding cost for new contributors
  11. Migration — Backward compatibility, data migration, rollout/rollback ordering

Output format

For each section, the review returns:

  • Pass — meets bar
  • Risk — works but has identifiable risk → suggested mitigation
  • Block — critical gap → must address before implementation

For deep analysis, run with --effort xhigh (Opus 4.7 only) to maximize reasoning depth:

claude --effort xhigh
> /plan-review <plan-doc-path>

Cost approximately 2x baseline, but materially improves gap detection — especially in security and reliability sections.

Self-check (before issuing review — BLOCKING)

  1. Did I read the actual plan document (not assume from title)?
  2. For each section, do I cite specific lines or claims, not generic feedback?
  3. For each Block, do I have a concrete falsification — what evidence shows this would actually fail?
  4. Did I avoid groupthink with the plan author (contrarian challenge for at least 3 decisions)?

Read the full file on GitHub · 70 lines

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. 9d ago First seen · 70 lines · 74 tokens per session scan A f527561a8683

Subscribe to this mod's changes

jarvis-plan-review is a skill published in the GitHub repository Ramsbaby/jarvis (16 stars, last pushed 17d ago), licensed MIT. It adds 74 tokens to every session and 763 once invoked, about $0.0004 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.

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