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.
npx skills add Ramsbaby/jarvis --skill plan-reviewgit clone --depth 1 https://github.com/Ramsbaby/jarvisWrote 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/ramsbaby/jarvis/plan-review)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00074 | $0.00763 |
| Opus 5 | $0.00037 | $0.00381 |
| Sonnet 5 | $0.00015 | $0.00153 |
| Haiku 4.5 | $0.00007 | $0.00076 |
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.
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
- Problem definition — Is the problem stated precisely? What evidence supports it being worth solving?
- Scope boundaries — What is explicitly in scope, out of scope, and deferred?
- Architecture — Data flow, dependencies, blast radius of failure
- Security — Authentication, authorization, secrets handling, PII boundaries, threat model
- Observability — Logs, metrics, alerts, on-call playbook
- Deployment — Rollback strategy, gradual rollout, feature flags, dark launches
- Performance — Latency, throughput, cost budget, scaling assumptions
- Reliability — Failure modes, recovery paths, SLO targets
- Testing — Unit, integration, regression, chaos, load
- Maintainability — Code patterns, documentation, onboarding cost for new contributors
- Migration — Backward compatibility, data migration, rollout/rollback ordering
Output format
For each section, the review returns:
Pass— meets barRisk— works but has identifiable risk → suggested mitigationBlock— critical gap → must address before implementation
Recommended environment
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)
- Did I read the actual plan document (not assume from title)?
- For each section, do I cite specific lines or claims, not generic feedback?
- For each
Block, do I have a concrete falsification — what evidence shows this would actually fail? - Did I avoid groupthink with the plan author (contrarian challenge for at least 3 decisions)?
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.
- 9d ago First seen · 70 lines · 74 tokens per session scan A f527561a8683
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.
Other skills, from other repositories
issue
Use when starting a chain from a GitHub issue — turning an issue URL or number into a triaged, planned, dispatched, and reviewed pull request. Classifies the thread (bug → root-cause discipline, feature → plan chain, question → drafted reply), synthesizes a spec from the issue's own acceptance criteria, then runs the…
swarm-pr-review
Run a graph-guided, tool-augmented PR review using context packing, parallel exploration, mandatory repository-agnostic risk-family coverage with dispatch scaled to diff size and risk, independent reviewer validation, critic challenge, and metrics writeback. Use for deep pull request review with low false-positive…
include-test-files-that-assert-on-behavior-being-changed-in-decl
When delegating a task affected by this skill, include.
review
Use when the user wants code assessed rather than changed — "review PR 88", "is this branch ready to merge?", "look over my changes", "any problems with this diff?", "give me a code review", "what do you think of this PR?", "sanity-check this branch", "ship it?". Applies to a pull request or the current branch when…
request-review
Dispatch a fresh reviewer agent with a clean context to critique the code after audit-code passes. The reviewer has no shared state with the coding agent and gives a genuine second opinion. Use after audit-code passes, before committing, or when user wants an independent code review.
magpie-pairing-self-review
Run a structured pre-flight self-review on local changes before opening a PR. Reads the diff against a configurable base (default: the merge base of HEAD and the upstream default branch), checks correctness, security, and project conventions, and returns a structured report to the developer. No state changes, no PR…