devils-advocate

devils-advocate is a skill for Claude Code, Codex from Effulgent-Point/paw. It costs 0 tokens per session (430 once invoked), scanned A, original, MIT.

A review guide for challenging a plan before anyone commits to it, including architecture, implementation, migration, and design plans.

In plain words
What is it for?
Use it to stress-test each step of a proposed plan, identify risks and unhandled error paths, and make the simplest workable approach clear.
Why use it?
It exposes failure points, bad inputs, race conditions, scaling problems, missing recovery paths, and assumptions that a plan may hide.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/effulgent-point/paw/devils-advocate
Any agent
npx skills add Effulgent-Point/paw --skill devils-advocate
Clone the repo
git clone --depth 1 https://github.com/Effulgent-Point/paw

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 devils-advocate

README.md
[![agentmods](https://agentmods.dev/badge/skills/effulgent-point/paw/devils-advocate.svg)](https://agentmods.dev/skills/effulgent-point/paw/devils-advocate)
Your own site
<a href="https://agentmods.dev/skills/effulgent-point/paw/devils-advocate"><img src="https://agentmods.dev/badge/skills/effulgent-point/paw/devils-advocate.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 430 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00430
Opus 5 $0.00000 $0.00215
Sonnet 5 $0.00000 $0.00086
Haiku 4.5 $0.00000 $0.00043

Measured 5d ago against content hash d14fb206d777, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

devils-advocate 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 5d 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/devils-advocate/SKILL.md · 39 lines

What it actually says

Devil's Advocate Skill

When to use: Reviewing any plan before commitment — architecture, implementation plan, migration strategy, design proposal.

Attack patterns

For every step in a plan, ask:

  1. What if it fails halfway? — is there a recovery path, or are you stuck in a broken state?
  2. What if the input is wrong? — garbage in, does it fail loudly or corrupt silently?
  3. What if this runs concurrently with other work? Race conditions? Conflicting writes?
  4. What if this needs to work at 10x scale? — does it still hold, or is there a hidden O(n^2)?
  5. What's the simplest version? — is this overengineered for the actual requirement?

Red flags to look for

  • "For now" — means "forever" unless there's a ticket and a date
  • "We'll fix later" — later never comes. If it matters, fix it now or accept the risk explicitly
  • Hand-waved steps — "then we just deploy" / "the migration handles it" / "the API returns the data we need"
  • Missing error paths — only the happy path is described
  • Implicit assumptions — "users will have..." / "the data is always..."

The 6-month test

Would a new team member, reading this plan in 6 months with no context, understand:

  • What was decided and why?
  • What was explicitly NOT done and why?
  • What could go wrong and what the mitigation is?

If not, the plan is underspecified.

Structuring concerns

  • Blockers — must address before building. The plan doesn't work without this.
  • Warnings — should address. Known risk if you don't.
  • Notes — worth considering. Won't block but worth knowing.

Be specific. "This might have issues" is useless. "The batch job at step 3 has no timeout — if the API hangs, the job runs forever" is actionable.

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. 5d ago First seen · 39 lines · 0 tokens per session scan A d14fb206d777

Subscribe to this mod's changes

devils-advocate is a skill published in the GitHub repository Effulgent-Point/paw (2 stars, last pushed 25d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 430 tokens. 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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