A structured challenge tool for testing AI output by looking for weak assumptions, factual errors, framing problems, and other flaws.

Use it to ask for a second opinion, verify claims, challenge a decision, or stress-test an answer.

It helps expose mistakes or premature conclusions before they are accepted as reliable.

challenge — Skill for Claude Code by pantheon-org

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 pantheon-org/tekhne --skill challenge

Clone the repo

git clone --depth 1 https://github.com/pantheon-org/tekhne

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/pantheon-org/tekhne/challenge/github.svg)](https://agentmods.dev/skills/pantheon-org/tekhne/challenge)

Your own site

<a href="https://agentmods.dev/skills/pantheon-org/tekhne/challenge"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/pantheon-org/tekhne/challenge"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/challenge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,684 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium Excessive Agency · line 5
Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.

Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00091	$0.01684
Opus 5	$0.00046	$0.00842
Sonnet 5	$0.00018	$0.00337
Haiku 4.5	$0.00009	$0.00168

Measured 9d ago against content hash 4e249b9c5763, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 9d 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/software-engineering/challenge/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Challenge

Apply structured provocation patterns to force reconsideration of current work.

Target: $ARGUMENTS

⚠️ AskUserQuestion Guard

CRITICAL: After EVERY AskUserQuestion call, check if answers are empty/blank. Known Claude Code bug: outside Plan Mode, AskUserQuestion silently returns empty answers without showing UI.

If answers are empty: DO NOT proceed with assumptions. Instead:

Output: "⚠️ Questions didn't display (known Claude Code bug outside Plan Mode)."
Present the options as a numbered text list and ask user to reply with their choice number.
WAIT for user reply before continuing.

Dispatch

Parse first word of $ARGUMENTS as subcommand:

Subcommand	Error Type	Protocol
`anchor`	Premature commitment / anchoring bias	Read `references/protocols/anchor.md` → execute
`verify`	Factual errors / hallucination	Read `references/protocols/verify.md` → execute
`framing`	Wrong problem / framing errors	Read `references/protocols/framing.md` → execute
`deep`	High stakes — all 9 patterns in fresh context	Spawn devil-advocate sub-agent via Agent

No-Subcommand Fallback

If no subcommand detected:

AskUserQuestion: "What are you worried about with the current AI response?"

A) Anchoring bias — AI committed too early to one approach
B) Factual accuracy — claims may be wrong or hallucinated
C) Wrong framing — solving the wrong problem
D) High stakes — want all 9 patterns in fresh context (Devil's Advocate)

→ Dispatch to matching subcommand based on answer.

Deep Subcommand

Spawn via Agent tool a devil's advocate sub-agent with:

prompt: target description + relevant file paths to read
The agent runs ALL 9 patterns (anchor: Gatekeeper, Reset, Alt Approaches, Pre-mortem · verify: Proof Demand, CoVe, Fact Check List · framing: Socratic, Steelman) comprehensively in fresh context
DO NOT pass parent conversation reasoning — fresh context is the point

Thinking Transparency (applies to all subcommands)

Read the full file on GitHub · 127 lines

Files

What ships with it

15 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

9d ago First seen · 127 lines · 91 tokens per session scan A 4e249b9c5763

Subscribe to this mod's changes

challenge is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed yesterday), licensed MIT. It adds 91 tokens to every session and 1,684 once invoked, about $0.0005 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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challenge