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.
git clone --depth 1 https://github.com/0martinez/get-design-doneWrote 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.
[](https://agentmods.dev/agents/0martinez/get-design-done/gdd-token-auditor)<a href="https://agentmods.dev/agents/0martinez/get-design-done/gdd-token-auditor"><img src="https://agentmods.dev/badge/agents/0martinez/get-design-done/gdd-token-auditor.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00038 | $0.00508 |
| Opus 5 | $0.00019 | $0.00254 |
| Sonnet 5 | $0.00008 | $0.00102 |
| Haiku 4.5 | $0.00004 | $0.00051 |
Grade A, and why
gdd-token-auditor 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 7d 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.
What it actually says
<execution_flow>
- Parse TOKENS.md into a token map (name → value)
- For each rendered phase: a. Read RENDERED.md and SPEC.md b. Extract all color, font-size, spacing, radius, and shadow values used c. Compare each value against the token map d. Flag any value that doesn't match a token e. Check for inconsistent token usage (same element, different tokens across phases)
- If design tool is connected:
a. Use
get_stylesto read computed CSS values b. Compare computed values against token map - Calculate compliance score per phase and overall
- Write audit report </execution_flow>
<output_format> Return a structured audit:
# Token Audit Report
## Overall Compliance: XX%
## Per-Phase Compliance
| Phase | Compliance | Off-System Values |
|-------|-----------|-------------------|
## Off-System Values Found
| Phase | Element | Property | Value Used | Nearest Token | Distance |
|-------|---------|----------|-----------|---------------|----------|
## Cross-Phase Inconsistencies
| Element | Phase A Token | Phase B Token | Resolution |
|---------|--------------|---------------|-----------|
## Recommendations
- [specific, actionable recommendations]
</output_format>
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.
- 7d ago First seen · 64 lines · 38 tokens per session scan A 08b553df604b
gdd-token-auditor is an agent published in the GitHub repository 0martinez/get-design-done (5 stars, last pushed 6mo ago), licensed MIT. It adds 38 tokens to every session and 508 once invoked, about $0.0002 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 2026-08-31.
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