parseltongue

parseltongue is a skill for Claude Code, Codex from nlebovits/parseltongue-claude. It costs 62 tokens per session (1,694 once invoked), scanned A, original, Apache-2.0.

A document-analysis skill that records facts with exact quotes from the source, derives conclusions using formal logic, and checks for made-up claims. It can be invoked with `/parseltongue`.

In plain words
What is it for?
Analyzing reports, papers, filings, or other documents; extracting supported facts; checking conclusions; and answering with citations.
Why use it?
It helps make answers traceable to the document and exposes claims that are not supported by the text.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Analyzing reports, papers, filings, or other documents; extracting supported facts; checking conclusions; and answering with citations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nlebovits/parseltongue-claude/parseltongue
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 nlebovits/parseltongue-claude --skill parseltongue
Clone the repo
git clone --depth 1 https://github.com/nlebovits/parseltongue-claude

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 parseltongue

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/nlebovits/parseltongue-claude/parseltongue"><img src="https://agentmods.dev/badge/skills/nlebovits/parseltongue-claude/parseltongue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,694 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 $0.00062 $0.01694
Opus 5.5 $0.00025 $0.00678
Sonnet 5.5 $0.00012 $0.00339
Haiku 4.5 $0.00006 $0.00169

Measured 2mo ago against content hash fda71b1c8788, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

parseltongue 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 2mo 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/parseltongue/SKILL.md · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parseltongue Grounded Analysis

Analyze documents with provable claims. Every fact traces to a verbatim quote. Hallucinations are automatically detected.

Quick Start

/parseltongue [paste document] What are the key findings?

Or with a file:

/parseltongue @report.pdf Are there any red flags in this SEC filing?

How It Works

┌─────────────────────────────────────────────────────────────────────┐
│  1. REGISTER    │  Load document into Parseltongue session          │
│  2. EXTRACT     │  Generate facts with verbatim :evidence quotes    │
│  3. DERIVE      │  Draw conclusions using formal logic              │
│  4. VERIFY      │  Check all quotes match source (catch hallucinations) │
│  5. ANSWER      │  Respond with [ref:symbol] citations              │
└─────────────────────────────────────────────────────────────────────┘

Instructions

Step 1: Create Session & Register Document

mcp__parseltongue__parseltongue_create_session
  session_id: "analysis-{timestamp}"

mcp__parseltongue__parseltongue_register_document
  session_id: "analysis-..."
  name: "doc"  # or descriptive name like "10k-filing"
  content: [document text]

Step 2: Extract Facts (Pass 1)

Generate Parseltongue DSL with facts. Every fact MUST have a verbatim quote.

(fact revenue-q3 42000000
    :evidence (evidence "doc"
        :quotes ("Total revenue for Q3 2024 was $42 million")
        :explanation "Quarterly revenue figure"))

(fact growth-target 40000000
    :evidence (evidence "doc"
        :quotes ("Growth target was $40 million")
        :explanation "Target figure for comparison"))

Rules:

  • :quotes must be EXACT text from the document (case-insensitive matching allowed)
  • One fact per distinct claim
  • Use descriptive symbol names (kebab-case)

Load and check:

mcp__parseltongue__parseltongue_load_dsl
  session_id: "analysis-..."
  dsl_source: [your DSL]

If unverified_count > 0, you hallucinated! Fix the quotes.

Read the full file on GitHub · 223 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. 2mo ago First seen · 223 lines · 62 tokens per session scan A fda71b1c8788

Subscribe to this mod's changes

parseltongue is a skill published in the GitHub repository nlebovits/parseltongue-claude (0 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 62 tokens to every session and 1,694 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.

Related

parseltongue compared with skills from other repositories

parseltongue next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
parseltonguenlebovits/parseltongue-claudeSkill07mo agoApache-2.0A62Claude Code, Codex
orbit-notionnexu-io/open-designSkill107ktodayApache-2.0A117Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35kyesterdayApache-2.0A123Claude Code
apify-youtube-transcript-scrapersickn33/agentic-awesome-skillsSkill49kyesterdayMITA48Claude Code
legal-holdanthropics/claude-for-legalSkill9.9kyesterdayApache-2.0A68Claude Code
report-to-pdfasgeirtj/system_prompts_leaksSkill71kyesterdayCC0-1.0A17Claude Code, Codex
artifact-template-minimal-letterheadasgeirtj/system_prompts_leaksSkill71kyesterdayCC0-1.0A54Claude Code, Codex