infer-rosetta-stone-mappings

infer-rosetta-stone-mappings is a skill for Claude Code from narrative-io/narrative-skills-marketplace. It costs 108 tokens per session (2,420 once invoked), scanned A, original, MIT.

An unattended workflow skill that proposes changes to a Narrative dataset's Rosetta Stone mappings. It reads the dataset, returns additions, replacements, removals, retained mappings, and unmapped columns, but writes nothing.

In plain words
What is it for?
Use it to infer and review dataset-to-identity mappings in an automated workflow without a person answering questions during the run.
Why use it?
Automated mapping needs a structured proposal and an honest indication of uncertainty before changes are applied. This lets a workflow accept only proposals above its chosen confidence threshold.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the narrative-common plugin — 10 skills shipped together

Good fit Use it to infer and review dataset-to-identity mappings in an automated workflow without a person answering questions during the run.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/narrative-io/narrative-skills-marketplace/infer-rosetta-stone-mappings
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 narrative-io/narrative-skills-marketplace --skill infer-rosetta-stone-mappings
Clone the repo
git clone --depth 1 https://github.com/narrative-io/narrative-skills-marketplace

Made for: Claude Code.

Or install narrative-common, the plugin that ships this one along with the rest of its 10 skills.

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 infer-rosetta-stone-mappings

README.md
[![agentmods](https://agentmods.dev/badge/skills/narrative-io/narrative-skills-marketplace/infer-rosetta-stone-mappings/github.svg)](https://agentmods.dev/skills/narrative-io/narrative-skills-marketplace/infer-rosetta-stone-mappings)
Your own site
<a href="https://agentmods.dev/skills/narrative-io/narrative-skills-marketplace/infer-rosetta-stone-mappings"><img src="https://agentmods.dev/badge/skills/narrative-io/narrative-skills-marketplace/infer-rosetta-stone-mappings/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 infer-rosetta-stone-mappings

Your own site · 80×15
<a href="https://agentmods.dev/skills/narrative-io/narrative-skills-marketplace/infer-rosetta-stone-mappings"><img src="https://agentmods.dev/badge/skills/narrative-io/narrative-skills-marketplace/infer-rosetta-stone-mappings.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,420 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 $0.00108 $0.02420
Opus 5.5 $0.00043 $0.00968
Sonnet 5.5 $0.00022 $0.00484
Haiku 4.5 $0.00011 $0.00242

Measured 4d ago against content hash fd84f155529d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

infer-rosetta-stone-mappings 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.

plugins/narrative-common/skills/infer-rosetta-stone-mappings/SKILL.md · 249 lines

How it starts

The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Infer Rosetta Stone Mappings

Persona

You are a data quality engineer working unattended inside a workflow. Nobody reads your answer as prose and nobody can answer a question, so you decide from the evidence you can read and say why in each proposal. Score every proposal honestly. The workflow applies a proposal only when its confidence meets the workflow's threshold, and reports the others as declined, so a low score is information, not a failure.

This skill returns proposed changes to one dataset's mappings as structured output. It applies the rules in ../rosetta-stone-mapping-rules/SKILL.md and has a flow of its own only for reading the dataset and shaping the answer. You can read anything you need, but you can't write mappings or start sample or statistics jobs; the workflow checks your proposals and applies the ones that pass.

When to use

  • A workflow task (such as InferRosettaStoneMappings) asks you to propose mappings for a dataset and gives you an answer schema.

Do NOT use for:

  • Mapping a dataset with a person in the conversation. Use generate-rosetta-stone-mappings, which presents the mappings and offers to apply them.
  • Writing mappings. The workflow that started you applies them.

Inputs

The prompt gives you:

  • the dataset id;
  • the dataset's existing mappings, each with mappingId, attributeId, mapping, source and tags. Treat this list as the dataset's mappings; don't fetch them again;
  • optionally, instructions from the workflow, such as a hint about the data. Follow them where they don't conflict with the mapping rules.

Procedure

1. Read the dataset as it is

narrative_datasets_describe(
  dataset_ids: [<id>],
  include: ["metadata", "schema", "sample", "stats"]
)

When a column's statistics are missing from the response, read them with narrative_dataset_get_column_stats. Use the sample and the statistics that exist. Never request a new sample or a recalculation: those tools are refused, and each refused call costs a turn. When evidence is thin, lower the confidence instead.

Read the full file on GitHub · 249 lines

Files

What ships with it

1 file 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.

  1. 4d ago First seen · 249 lines · 108 tokens per session scan A fd84f155529d

Subscribe to this mod's changes

infer-rosetta-stone-mappings is a skill published in the GitHub repository narrative-io/narrative-skills-marketplace (9 stars, last pushed yesterday), licensed MIT. It adds 108 tokens to every session and 2,420 once invoked, about $0.0004 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 2026-11-06.

Related

infer-rosetta-stone-mappings compared with skills from other repositories

infer-rosetta-stone-mappings next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
infer-rosetta-stone-mappingsnarrative-io/narrative-skills-marketplaceSkill9yesterdayMITA108Claude Code
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metricflow_ingestKaelio/ktxSkill1.6k19d agoApache-2.0A0Claude Code, Codex
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