challenge

challenge is a skill for Claude Code from martineserios/thebrana. It costs 26 tokens per session (5,916 once invoked), scanned A, original, MIT.

An adversarial review process that asks multiple reviewers to challenge plans, architecture decisions, or reasoning from different perspectives.

In plain words
What is it for?
Use it to stress-test technical plans, review system designs, and validate important conclusions.
Why use it?
It helps expose hidden assumptions, weak arguments, and risks before a decision is made.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

Part of the brana plugin — 56 skills, 4 commands, 14 agents, 13 hooks shipped together

Good fit Use it to stress-test technical plans, review system designs, and validate important conclusions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/martineserios/thebrana/challenge
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.

Any agent
npx skills add martineserios/thebrana --skill challenge
Clone the repo
git clone --depth 1 https://github.com/martineserios/thebrana

Made for: Claude Code.

Or install brana, the plugin that ships this one along with the rest of its 56 skills, 4 commands, 14 agents, 13 hooks.

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 challenge

README.md
[![agentmods](https://agentmods.dev/badge/skills/martineserios/thebrana/challenge/github.svg)](https://agentmods.dev/skills/martineserios/thebrana/challenge)
Your own site
<a href="https://agentmods.dev/skills/martineserios/thebrana/challenge"><img src="https://agentmods.dev/badge/skills/martineserios/thebrana/challenge/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 challenge

Your own site · 80×15
<a href="https://agentmods.dev/skills/martineserios/thebrana/challenge"><img src="https://agentmods.dev/badge/skills/martineserios/thebrana/challenge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,916 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 $0.00026 $0.05916
Opus 5 $0.00013 $0.02958
Sonnet 5 $0.00005 $0.01183
Haiku 4.5 $0.00003 $0.00592

Measured 5d ago against content hash ce32194df256, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

challenge 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.

system/skills/challenge/SKILL.md · 322 lines

How it starts

The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Challenge

Adversarial review with two modes. Standard: three native challenger subagents (convergent · systems · critical) stress-test reasoning, Gemini retrieves documented constraints — all run independently, Claude merges and judges. Council (--council): Four parallel perspective agents (devil's advocate, optimist, pragmatist, operator) plus Gemini — Claude synthesizes across all five.

Deep (--deep, or auto on high-stakes): any mode, plus an adversarial verification stage — every merged finding is independently re-attacked by N skeptics (verify-findings workflow), so plausible-but-wrong findings are dropped to FALSE_POSITIVE and survivors get a calibrated severity before you see them. All agents are native subagents on the subscription — no ruflo, no API key.

  1. Gather context about what to challenge:

    • If $ARGUMENTS provided, use it as the description of what to challenge.
    • If $ARGUMENTS contains --council: strip --council from the target description, activate council mode — step 4a spawns 4 parallel perspective agents instead of one Opus agent. All other steps unchanged.
    • If $ARGUMENTS contains --hats: strip --hats from the target description, activate hats mode — step 4a spawns 4 parallel hat agents (White/Black/Yellow/Green) instead of hive-mind workers. Mutually exclusive with --council; if both present, --hats wins.
    • If $ARGUMENTS contains --deep: strip --deep from the target description, activate deep mode — runs the adversarial verification stage (step 4d) over the merged findings before synthesis. Combinable with any mode (standard / --council / --hats).
    • Auto-deep: even without --deep, activate deep mode automatically when the target is high-stakes — an architectural or irreversible decision, cost-of-being-wrong rated expensive/catastrophic in step 2, or an M+ effort plan. When auto-triggering, tell the user one line: "High-stakes target — running deep verification."
    • If no arguments: conversation-context inference — scan recent conversation turns (both user and assistant) to identify the most significant unchalllenged decision, plan, or proposal. Priority order:
      1. A plan or architecture decision being actively discussed
      2. A proposal the user described or asked about
      3. Your own most recent substantive recommendation
      4. A trade-off or choice where alternatives weren't explored
    • Extract: the decision/plan itself, the key constraints mentioned, and any assumptions stated or implied.
    • Frame it naturally: "I see we're discussing [X]. Let me stress-test that." — not "Let me challenge my last answer."
    • If the conversation has no substantive decision context (e.g., session just started, only greetings), then ask what to target.
  2. Scope discovery — before launching challengers, ask 2-4 targeted questions that could change the challenge outcome.

    First, think (silently): given what's being challenged, what dimensions are non-obvious but consequential? What does Claude not know yet that would change which findings matter?

    Then surface 2-4 questions via a single AskUserQuestion call. Choose from the dimensions below — pick the ones most relevant to the target. Skip generic process questions.

    Dimension When to ask Example option set
    Deadline pressure Plan or implementation work "this week" / "this month" / "no fixed date"
    Cost of being wrong Architecture or migration "cheap (refactor)" / "expensive (data migration)" / "catastrophic (prod incident)"
    What's been tried Recurring problem or refactor "first attempt" / "one prior approach" / "multiple stalled attempts"
    Stakeholder breadth Anything visible externally "just me" / "one other person" / "wider team" / "external users"
    Constraints already locked Mid-project decisions "nothing locked yet" / specific commitments listed
    Hard ceiling on scope Sprawling proposals "S" / "M" / "L" / "explicitly unbounded"
    Gemini grounding Brana-domain decisions — user wants to skip "run agy (Recommended)" / "skip — no Brana docs apply"

Read the full file on GitHub · 322 lines

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 · 322 lines · 26 tokens per session scan A ce32194df256

Subscribe to this mod's changes

challenge is a skill published in the GitHub repository martineserios/thebrana (3 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 5,916 once invoked, about $0.0001 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 2026-09-03.

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