rc-extract

rc-extract is a skill for Claude Code, Codex from lhl/realitycheck. It costs 26 tokens per session (840 once invoked), scanned A, original, Apache-2.0.

A quick method for extracting specific claims from a source without carrying out a full three-stage analysis. A claim is a statement that can be checked against evidence.

In plain words
What is it for?
Harvesting claims, building evidence for an existing argument, and triaging data-heavy or secondary sources.
Why use it?
It provides a faster way to collect useful statements from supporting material before deciding whether deeper analysis is needed.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/lhl/realitycheck/rc-extract
Any agent
npx skills add lhl/realitycheck --skill rc-extract
Clone the repo
git clone --depth 1 https://github.com/lhl/realitycheck

Made for: Claude Code, Codex.

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 rc-extract

README.md
[![agentmods](https://agentmods.dev/badge/skills/lhl/realitycheck/rc-extract.svg)](https://agentmods.dev/skills/lhl/realitycheck/rc-extract)
Your own site
<a href="https://agentmods.dev/skills/lhl/realitycheck/rc-extract"><img src="https://agentmods.dev/badge/skills/lhl/realitycheck/rc-extract.svg" alt="Measured on agentmods" 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 840 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00026 $0.00840
Opus 5 $0.00013 $0.00420
Sonnet 5 $0.00005 $0.00168
Haiku 4.5 $0.00003 $0.00084

Measured 4d ago against content hash 9794aed21d37, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

rc-extract 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 4d 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.

integrations/amp/skills/rc-extract/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quick Claim Extraction

Extract claims from a source without performing full 3-stage analysis. Use for quick claim harvesting or supporting sources.

When This Skill Activates

  • "Extract claims from"
  • "Quick extract"
  • "Harvest claims from"

Extract claims from a source without performing full 3-stage analysis. Use for quick claim harvesting or when sources are supporting evidence rather than primary subjects.

When to Use

  • Quick extraction of claims from supporting sources
  • Building cross-reference evidence for existing claims
  • Initial triage before deciding on full analysis
  • Sources that are data-heavy rather than argument-heavy

Output Format

claims:
  - id: "DOMAIN-YYYY-NNN"
    text: "[Precise claim statement]"
    type: "[F/T/H/P/A/C/S/X]"
    domain: "[DOMAIN]"
    evidence_level: "E[1-6]"
    credence: 0.XX
    source_ids: ["[source-id]"]

Claim Types

Type Symbol Definition
Fact [F] Empirically verified, consensus reality
Theory [T] Coherent explanatory framework with empirical support
Hypothesis [H] Testable proposition, awaiting evidence
Prediction [P] Future-oriented claim with specified conditions
Assumption [A] Underlying premise (stated or unstated)
Counterfactual [C] Alternative scenario for comparison
Speculation [S] Unfalsifiable or untestable claim
Contradiction [X] Identified logical inconsistency

Evidence Hierarchy

Use this hierarchy to rate strength of evidential support for claims.

Level Strength Description Credence Range
E1 Strong Empirical Systematic review, meta-analysis, replicated experiments 0.9-1.0
E2 Moderate Empirical Single peer-reviewed study, official statistics 0.6-0.8
E3 Strong Theoretical Expert consensus, working papers, preprints 0.5-0.7
E4 Weak Theoretical Industry reports, credible journalism 0.3-0.5
E5 Opinion/Forecast Personal observation, anecdote, expert opinion 0.2-0.4
E6 Unsupported Pure speculation, unfalsifiable claims 0.0-0.2

Read the full file on GitHub · 99 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. 4d ago First seen · 99 lines · 26 tokens per session scan A 9794aed21d37

Subscribe to this mod's changes

rc-extract is a skill published in the GitHub repository lhl/realitycheck (41 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 840 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 2026-08-30.