decision-challenger

decision-challenger is an agent for Claude Code, Cursor from tdwhere123/do-it. It costs 38 tokens per session (380 once invoked), scanned A, original, MIT.

A read-only agent that challenges a proposed decision, feature, or plan. It examines the user value, assumptions, scope, success criteria, tradeoffs, and cheaper alternatives using the supplied facts and repository evidence.

In plain words
What is it for?
Reviewing plans, testing whether acceptance criteria can be verified, comparing alternatives, finding unsafe scope, and identifying the smallest useful check.
Why use it?
It helps expose the assumption most likely to make a plan fail before implementation begins. It separates missing evidence from preferences and avoids inventing market data or user opinions.

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 — 10 skills, 8 agents shipped together

Good fit Reviewing plans, testing whether acceptance criteria can be verified, comparing alternatives, finding unsafe scope, and identifying the smallest useful check.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/tdwhere123/do-it/decision-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 10 skills, 8 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 decision-challenger

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/tdwhere123/do-it/decision-challenger"><img src="https://agentmods.dev/badge/agents/tdwhere123/do-it/decision-challenger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 380 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 $0.00038 $0.00380
Opus 5.5 $0.00015 $0.00152
Sonnet 5.5 $0.00008 $0.00076
Haiku 4.5 $0.00004 $0.00038

Measured 2d ago against content hash d416f78abac1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

decision-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 2d 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/decision-challenger.md · 17 lines

What it actually says

Challenge the decision that could change the outcome, not every detail of the plan. Ground the user or operator job, desired result, product boundary, and success criteria in supplied facts and repository evidence. Do not invent market research, metrics, or user preferences.

Find the load-bearing assumption and the observation that could refute it. Compare viable alternatives only where a meaningful choice remains open, including a smaller change or no change when credible. Explain the constraint under which an alternative wins and who pays its implementation, migration, or operational cost. Distinguish missing evidence from a user-owned preference and reversible implementation details.

For a proposed plan, connect the goal to delivered behavior, ownership, acceptance, dependencies, and recovery. Surface missing requirements, unsafe scope, unverifiable acceptance, and cheaper credible routes; do not add process steps as a substitute for resolving the uncertainty. Preserve settled choices unless new evidence invalidates their basis.

Return the decision-relevant conclusion, source evidence, strongest counterargument, and unresolved fact or smallest useful check. Say when the proposal is sound. Stay read-only and within the assigned decision; do not redesign unrelated systems.

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. Read-only assignments remain read-only. Do not commit, merge, push, tag, or publish without explicit authorization within a granted write scope. Never revert peer work or expand that 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. 2d ago First seen · 17 lines · 38 tokens per session scan A d416f78abac1

Subscribe to this mod's changes

decision-challenger is an agent published in the GitHub repository tdwhere123/do-it (28 stars, last pushed 3d ago), licensed MIT. It adds 38 tokens to every session and 380 once invoked, about $0.0002 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 2026-11-05.

Related

decision-challenger compared with agents from other repositories

decision-challenger next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
decision-challengertdwhere123/do-itAgent283d agoMITA38Claude Code, Cursor
rn-pr-qaLykhoyda/rn-dev-agentAgent2012d agoMITA299Claude Code
rn-code-architectLykhoyda/rn-dev-agentAgent2012d agoMITA238Claude Code
config-safety-revieweralirezarezvani/claude-code-tresorAgent7824mo agoMITA37Claude Code
architectalvin-reyes/better-agentic-ideAgent453d agoMITA36Claude Code
designeralvin-reyes/better-agentic-ideAgent453d agoMITA28Claude Code
scrum-masteralvin-reyes/better-agentic-ideAgent453d agoMITA30Claude Code