plan-challenger

plan-challenger is an agent for Claude Code, Cursor from tdwhere123/do-it. It costs 29 tokens per session (242 once invoked), scanned A, original, MIT.

A read-only review of a proposed plan against its intended result, scope, evidence, risks, and success checks.

In plain words
What is it for?
Use it to challenge software plans and return prioritized issues with their impact and the specific corrections needed.
Why use it?
It exposes unclear goals, unsupported assumptions, unsafe work, missing proof, or a simpler credible approach before implementation begins.

Agent for Claude CodeCursor

Written for Cursor and Claude Code: shipped in a Cursor plugin, but also a Claude Code subagent (agents/*.md).

Part of the do-it-cursor plugin — 11 skills, 10 agents shipped together

Good fit Use it to challenge software plans and return prioritized issues with their impact and the specific corrections needed.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/tdwhere123/do-it/plan-challenger
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.

Clone the repo
git clone --depth 1 https://github.com/tdwhere123/do-it

Made for: Claude Code, Cursor.

Or install do-it-cursor, the plugin that ships this one along with the rest of its 11 skills, 10 agents.

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 plan-challenger

README.md
[![agentmods](https://agentmods.dev/badge/agents/tdwhere123/do-it/plan-challenger/github.svg)](https://agentmods.dev/agents/tdwhere123/do-it/plan-challenger)
Your own site
<a href="https://agentmods.dev/agents/tdwhere123/do-it/plan-challenger"><img src="https://agentmods.dev/badge/agents/tdwhere123/do-it/plan-challenger/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 plan-challenger

Your own site · 80×15
<a href="https://agentmods.dev/agents/tdwhere123/do-it/plan-challenger"><img src="https://agentmods.dev/badge/agents/tdwhere123/do-it/plan-challenger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 242 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 $0.00029 $0.00242
Opus 5.5 $0.00012 $0.00097
Sonnet 5.5 $0.00006 $0.00048
Haiku 4.5 $0.00003 $0.00024

Measured 10d ago against content hash c3278d6aef17, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plan-challenger 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.

plugins/do-it-cursor/agents/plan-challenger.md · 15 lines

What it actually says

Act as a read-only plan challenger. Test the proposed outcome, evidence, scope, ownership, and validation against the task and available facts.

Surface only issues that could change execution: vague success criteria, unverified assumptions, unsafe scope, missing proof, or a simpler or safer credible route. Do not manufacture process objections or expand into a broad architecture review.

Return severity-ordered findings with the plan evidence, impact, and concrete correction; say when the plan is sound. Include unresolved assumptions, residual risk, and NOT_CHECKED. The parent integrates the result.

Work only the assigned slice. Gather evidence and reach conclusions independently. Treat parent opinions as hypotheses, not authority; preserve the goal, settled decisions, source facts, and authorization boundary. Do not commit, merge, push, tag, publish, revert peer work, or expand the write scope. Return NOT_CHECKED for anything not inspected. The parent owns integration, the task contract, and the completion claim.

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 Changed · +1 lines c3278d6aef17
  2. 1mo ago Changed · -3 lines · -5 tokens per session 659dbb5eab8f
  3. 1mo ago Changed · +6 lines · +5 tokens per session 0ded4386ee6e
  4. 1mo ago First seen · 11 lines · 29 tokens per session scan A 027ac57a0518

Subscribe to this mod's changes

plan-challenger is an agent published in the GitHub repository tdwhere123/do-it (28 stars, last pushed 6d ago), licensed MIT. It adds 29 tokens to every session and 242 once invoked, about $0.0001 per session on Opus 5.5. 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.

Related

Other agents, from other repositories

rn-pr-qa

Device-tests a GitHub pull request on iOS simulator, Android emulator, and/or a physical device using rn-dev-agent. Installs the PR head, exercises the change, and reports pass/fail with repro steps and screenshots/logs. PARENT-SESSION-ONLY: requires MCP tools (cdp, device, rnsession) — do NOT spawn via Task tool, run…

Lykhoyda/rn-dev-agent · 299 tokens

rn-code-architect

Designs implementation blueprints for React Native features by analyzing existing codebase patterns, then providing specific files to create/modify, component designs, testID placement, store slice design, and build sequences. Triggers: "design the architecture", "plan the implementation", "create a blueprint", "what…

Lykhoyda/rn-dev-agent · 238 tokens

arch-review

Principal-level software architect for architecture reviews, pre-implementation specification reviews, and spec-conformance verification. Use when the user asks to review architecture, evaluate design decisions, audit system boundaries, check for anti-patterns, evaluate whether a specification is ready to be…

sergeyklay/.agents · 122 tokens

counsel

A legal-advice agent for checking jurisdiction-specific rules, privacy policies, terms of service, and open-source licence compatibility using primary sources.

kohj1018/agentic-dev-harness · 79 tokens

validator

Use proactively after implementation to verify scope alignment, document consistency, obvious regression risk, and completion readiness.

kohj1018/agentic-dev-harness · 22 tokens

designer

Use for visual/UX design authoring — reference decomposition, design principles, divergent concept drafts, milestone screen prototypes, and DESIGN.md authoring support. Generation only; auditing stays with reviewer[design].

kohj1018/agentic-dev-harness · 42 tokens