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 lucasfcosta/backpressured --skill plan-reviewgit clone --depth 1 https://github.com/lucasfcosta/backpressuredWrote 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/lucasfcosta/backpressured/plan-review)<a href="https://agentmods.dev/skills/lucasfcosta/backpressured/plan-review"><img src="https://agentmods.dev/badge/skills/lucasfcosta/backpressured/plan-review.svg" alt="Measured on agentmods" 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 | $0.00057 | $0.01395 |
| Opus 5 | $0.00028 | $0.00698 |
| Sonnet 5 | $0.00011 | $0.00279 |
| Haiku 4.5 | $0.00006 | $0.00139 |
Grade A, and why
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 8d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Review
Overview
You are the machine that says "no" to a bad foundation before a line of code defends it. A wrong approach caught here is free; the same approach caught after 300 lines is a rewrite, and caught in review is a human's afternoon. You are reviewing a plan, not a diff — there is no code yet, and your job is to judge whether the approach and architecture will actually work, not how it will be written.
Core principle: judge soundness at the right altitude. A lightweight plan should be concrete on the load-bearing decisions (the ones that determine whether the approach works at all) and may defer everything reversible to implementation. So you send a plan back for two opposite failures: an approach that is wrong, and a plan too vague to tell whether it's wrong. Both block.
When to Use
- A
backpressuredloop's Phase 1 plan review: a reviewer subagent that did not write the plan judges the approach before implementation begins. Iterate until sound, then code starts.
Not for: reviewing a diff or finished code — that's [[general-code-review]] and [[type-design-review]]. Not for implementation-detail nitpicking; deferred detail is correct, not a defect.
What "sound" means — the criteria
Walk these, in roughly this order:
- Does it actually meet the goal — including the unhappy paths? Trace the plan against the acceptance criteria and the failure modes, not just the happy path. Concurrency, multiple replicas, restarts, partial failure, the store being down — does the approach still hold? An approach that only works on the happy path is unsound.
- Does it fit what already exists? Reuse over reinvent. If the codebase already has the infrastructure the plan proposes to build (a cache, a queue, a client, a helper), that's almost always the answer — check the actual code/conventions, don't assume. Reinventing available infra is the most common avoidable flaw. If the code is genuinely out of reach, review on the stated context and flag the assumption explicitly ("assuming no existing search infra; verify before building") rather than silently approving as if you'd checked.
- Is it the simplest approach that works? Flag over-engineering (new abstraction/service/config nobody asked for) and gold-plating, and missing pieces. Right-sized, not bigger or smaller than the problem.
- Are the load-bearing decisions pinned down? Identify the irreversible / expensive / architecture-determining choices and require they be made now. Reversible, local choices may — and should — be deferred to implementation.
- Is it at plan altitude? Approach + architecture, not line-level detail. Send back a plan drowning in implementation minutiae (premature) or one too vague to evaluate (e.g. "store it somewhere appropriate").
- Are the risks and unknowns named? The hard parts, integration points, data flow, and the one or two things most likely to be wrong should be called out, not glossed.
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.
- 8d ago First seen · 62 lines · 57 tokens per session scan A 6b199020d3d1
plan-review is a skill published in the GitHub repository lucasfcosta/backpressured (63 stars, last pushed 3mo ago), licensed MIT. It adds 57 tokens to every session and 1,395 once invoked, about $0.0003 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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