token-map

token-map is a skill for Claude Code, Codex from wolfenazz/YzPzCode. It costs 30 tokens per session (544 once invoked), scanned A, original, Apache-2.0.

A mapping step that matches colors, fonts, sizes, and spacing from a source design or codebase to the active design system. A design system is a shared set of visual rules and reusable values used across a product.

In plain words
What is it for?
It helps prepare Figma or code migrations by creating a reviewable crosswalk between the old visual values and the target system.
Why use it?
It makes differences between the source and target explicit and records tokens that have no suitable match instead of silently guessing.

Skill for Claude CodeCodex

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

Good fit It helps prepare Figma or code migrations by creating a reviewable crosswalk between the old visual values and the target system.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wolfenazz/yzpzcode/token-map
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 wolfenazz/YzPzCode --skill token-map
Clone the repo
git clone --depth 1 https://github.com/wolfenazz/YzPzCode

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 token-map

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/wolfenazz/yzpzcode/token-map"><img src="https://agentmods.dev/badge/skills/wolfenazz/yzpzcode/token-map.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 544 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
How audits are shown
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 $0.00030 $0.00544
Opus 5.5 $0.00012 $0.00218
Sonnet 5.5 $0.00006 $0.00109
Haiku 4.5 $0.00003 $0.00054

Measured 1mo ago against content hash f4bc1fc58861, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

token-map 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 1mo 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.

app/desgin/plugins/_official/atoms/token-map/SKILL.md · 61 lines

What it actually says

Token map

Spec §10 / §21.3.1: every figma-migration / code-migration run crosses the same boundary — "the source has its own tokens; the target uses the active OD design system; we need a deterministic mapping". This atom produces that mapping.

Inputs

  • figma/tokens.json from figma-extract (figma-migration), OR
  • code/tokens.json from design-extract (code-migration).
  • The active design system DESIGN.md (already injected into the prompt; the atom reads from .od-skills/design-system/DESIGN.md).

Output

project-cwd/
└── token-map/
    ├── colors.json     # { source: '#hex' | 'tokenName', target: '--ds-token' }[]
    ├── typography.json # font + size + weight pairings
    ├── spacing.json    # spacing scale crosswalk
    ├── unmatched.json  # { source: ..., reason: 'no-target-equivalent' }[]
    └── meta.json       # { sourceKind: 'figma' | 'code', generatedAt, atomDigest }

unmatched.json is the audit list a human reviews; the agent must not invent target tokens silently.

Convergence

The atom completes when every input token is either mapped or explicitly recorded under unmatched.json with a non-empty reason. The until evaluator reads tokens.unmatched.length === 0 on strict mode; default is "soft converge" (proceed with unmatched.json populated).

Anti-patterns the prompt fragment forbids

  • Injecting a new token into DESIGN.md without explicit user approval (use a confirmation GenUI surface for that).
  • Mapping hex colours by visual proximity alone; perceptual ΔE thresholds belong in the visual-diff evaluator (Phase 7).
  • Collapsing distinct source tokens onto the same target token silently; record collisions in unmatched.json with reason target-collision.

Status

Reserved id, prompt-only fragment in v1. The deterministic mapping algorithm + DESIGN.md token-extraction helper land in spec §16 Phase 6 alongside figma-extract.

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. 1mo ago First seen · 61 lines · 30 tokens per session scan A f4bc1fc58861

Subscribe to this mod's changes

token-map is a skill published in the GitHub repository wolfenazz/YzPzCode (20 stars, last pushed today), licensed Apache-2.0. It adds 30 tokens to every session and 544 once invoked, about $0.0001 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 2026-09-03.

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