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 Neeeophytee/ai-watermarks-reality-check --skill detect-text-watermarkgit clone --depth 1 https://github.com/Neeeophytee/ai-watermarks-reality-checkWrote 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/neeeophytee/ai-watermarks-reality-check/detect-text-watermark)<a href="https://agentmods.dev/skills/neeeophytee/ai-watermarks-reality-check/detect-text-watermark"><img src="https://agentmods.dev/badge/skills/neeeophytee/ai-watermarks-reality-check/detect-text-watermark/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/neeeophytee/ai-watermarks-reality-check/detect-text-watermark"><img src="https://agentmods.dev/badge/skills/neeeophytee/ai-watermarks-reality-check/detect-text-watermark.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00066 | $0.00641 |
| Opus 5 | $0.00033 | $0.00320 |
| Sonnet 5 | $0.00013 | $0.00128 |
| Haiku 4.5 | $0.00007 | $0.00064 |
Grade A, and why
detect-text-watermark 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
4 files 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 · 67 lines · 66 tokens per session scan A 8a142767f4d1
detect-text-watermark is a skill published in the GitHub repository Neeeophytee/ai-watermarks-reality-check (13 stars, last pushed 28d ago), licensed AGPL-3.0. It adds 66 tokens to every session and 641 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.
Other skills, from other repositories
bionic-safety-net
Unified survival infrastructure: health, finance, legal safety, circuit breakers, and structural protection against all ruin classes. The last line of defense.
tw-formal-writing
A Chinese-language writing assistant for formal documents used in Taiwan, including government correspondence, legal documents, and requests from citizens to government offices.
insurance-expert
Expert-level insurance systems, underwriting, claims processing, actuarial analysis, risk assessment, and insurtech solutions. Use when the user mentions underwriting, claims, actuarial, risk, or insurtech, or when the task involves Insurance Systems, Insurance Types, Standards and Regulations, or Claims Processing.
standards-expert
Expert-level ISO standards, quality management, compliance, and certification. Use when the user mentions ISO standards, quality management, compliance, or certification, or when the task involves Compliance & Certification, Auditing, or Continuous Improvement.
gdpr-expert
Expert in GDPR compliance, data protection, privacy by design, consent management, DPO responsibilities, and EU data regulations. Use when the user mentions privacy, data protection, compliance, consent, a DPO, or eu regulation, or when the task involves GDPR Fundamentals, Key Principles, Data Subject Rights, or…
soc2-expert
Expert in SOC 2 compliance, trust service criteria, audit preparation, controls implementation, and security frameworks. Use when the user mentions compliance, audit, trust services, AICPA, controls, or security framework, or when the task involves Trust Service Criteria, SOC 2 Types, Security Common Criteria, or…