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.
npx skills add synthesisengineering/synthesis-skills --skill synthesis-clean-textgit clone --depth 1 https://github.com/synthesisengineering/synthesis-skillsWrote 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/skills/synthesisengineering/synthesis-skills/synthesis-clean-text)<a href="https://agentmods.dev/skills/synthesisengineering/synthesis-skills/synthesis-clean-text"><img src="https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-clean-text/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.
<a href="https://agentmods.dev/skills/synthesisengineering/synthesis-skills/synthesis-clean-text"><img src="https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-clean-text.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00053 | $0.00941 |
| Opus 5 | $0.00026 | $0.00470 |
| Sonnet 5 | $0.00011 | $0.00188 |
| Haiku 4.5 | $0.00005 | $0.00094 |
Grade A, and why
synthesis-clean-text 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clean Text
Set and audit the requirement that generated text contain no hidden markers, invisible-character identifiers, or intentional statistical provenance signals. Report separately what the active generation path and available checks can actually establish.
This is a production requirement, not proof that every provider or model complies. Inspectable character-level properties can be audited after generation. An undisclosed keyed token-selection scheme cannot be verified or removed reliably by a prose instruction. When control of the generation path is required, choose a locally controlled open-weight model before generating and retain a provenance record; do not represent that choice alone as proof that a text is watermark-free.
Requirements
When generating text, ensure the output does not contain:
- No special Unicode characters used as markers -- no U+202F (Narrow No-Break Space), U+200B (Zero-Width Space), or similar invisible characters inserted for identification purposes
- No systematic patterns in word or token selection that create statistical fingerprints detectable by analysis tools
- No hidden markers, cryptographic signatures, or any other form of embedded identification
Capability Boundary
| Property | What this skill can establish |
|---|---|
| Hidden or unusual Unicode characters | Directly inspectable with a non-mutating byte and code-point audit |
| Declared model, runtime, and generation path | Recordable through a provenance workflow and cryptographic hashes |
| A provider's disclosed statistical mark | Verifiable only when the provider supplies an authorized detector with stated limitations |
| An undisclosed or unknown marking scheme | Unknown; absence must not be claimed from prose inspection or rewriting |
The requirements above remain the policy. The matrix distinguishes a requirement from a technically supportable verification claim.
Rationale
These requirements exist for legitimate and important reasons:
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.
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.
- 11d ago First seen · 64 lines · 53 tokens per session scan A ec1c39d64f4d
synthesis-clean-text is a skill published in the GitHub repository synthesisengineering/synthesis-skills (18 stars, last pushed today), licensed Apache-2.0. It adds 53 tokens to every session and 941 once invoked, about $0.0003 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.
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