IyedNasra

Skeptic — AI skill for Claude Code

AI community

Token-efficient anomaly detection and assumption verification skill for AI coding agents.

How to install Skeptic

This entry records only its repository, not the path inside it, so there is no exact command to give. Open IyedNasra/skeptic and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Skeptic does

Token-efficient anomaly detection and assumption verification skill for AI coding agents.

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README

skeptic

A token-efficient sanity check, tripwire anomaly detection, and assumption validation skill for AI coding agents.

Why

AI agents frequently execute multi-step pipelines on unverified assumptions—such as spending days processing duplicate databases before realizing both sources were identical. `skeptic` introduces calibrated skepticism: **zero token overhead** on routine edits, **passive tripwires** for statistical anomalies, and **scalar probes** (<20 tokens) for high-blast-radius operations.

Skill Structure

skeptic/
├── SKILL.md                  # Core skill rules, tripwires, and gate patterns
├── references/
│   ├── scalar-probes.md      # 1-line bash/SQL recipes (<20 tokens)
│   └── tripwires.md          # Anomaly signatures directory
├── README.md
└── LICENSE

Installation

Using `npx skills` (Recommended)

Install directly using the universal Agent Skills CLI:

npx skills add IyedNasra/skeptic

Manual Installation

Clone into your agent's skills directory:

Claude Code:

git clone https://github.com/IyedNasra/skeptic.git ~/.claude/skills/skeptic

Antigravity / Gemini CLI:

git clone https://github.com/IyedNasra/skeptic.git ~/.agents/skills/skeptic

Cursor / Custom Agent Runtimes: Clone into .cursor/skills/skeptic or include SKILL.md in your project instructions.

Core Principles

The Asymmetry Rule: Low-risk routine changes proceed with zero verification overhead. High-blast-radius operations execute a 1-line scalar gate.
Zero Context Pollution: Uses compact scalar probes (hashes, line diffs) to prevent thousands of tokens of raw data from flooding the context window.
Tripwire Anomaly Sensing: Passive awareness for anomalies (duplicate sizes, instant execution, zero-variance outputs) that trigger verification only when something smells off.