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A verification doctrine for high-stakes tasks: forces exhaustive evidence collection, mathematical certainty scoring, and structured failure reports before acti
TnR Absolute Rigor is a procedural doctrine skill that instructs an agent to perform exhaustive, evidence-backed analysis for high-risk or critical tasks. It defines workflows (depletion loop, mental models), mandatory checklists, and a mathematical certainty derivation that gates execution unless a ≥95% confidence threshold is reached. The skill codifies how to collect internal and external evidence, apply multiple analytic models, and produce auditable session reports.
Activate this skill for high-stakes investigations where incorrect action could cause data loss, security issues, or system outages. Triggers include requests for formal verification, phrases like "absolute proof" or /tnr, or when the task involves critical CRUD mutations or core infrastructure.
Intended for high-capability agent contexts where the agent can read code and logs and append to session files (Claude Code, advanced autonomous agents, internal auditor bots).
TnR Absolute Rigor is a purely instructional verification doctrine — a cognitive framework forcing agents to apply rigorous analysis with mathematical certainty scoring. No scripts or executable code; it's a 4000+ word methodology document with mental models, depletion loops, and certainty derivation formulas. Clean from a security standpoint with zero executable surface, but extremely verbose and more manifesto than actionable skill.
Monolithic document with no separation into scripts/ or references/. Functions as a system prompt overlay rather than a traditional skill with tooling. The certainty derivation formula and depletion loop are well-structured concepts but lack any programmatic enforcement — they rely entirely on the LLM's compliance with the methodology. Frontmatter present but missing metadata fields common in the skill spec.
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