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 seqra/opentaint --skill create-rulegit clone --depth 1 https://github.com/seqra/opentaintWrote 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/seqra/opentaint/create-rule)<a href="https://agentmods.dev/skills/seqra/opentaint/create-rule"><img src="https://agentmods.dev/badge/skills/seqra/opentaint/create-rule/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/seqra/opentaint/create-rule"><img src="https://agentmods.dev/badge/skills/seqra/opentaint/create-rule.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 | $0.00019 | $0.02447 |
| Opus 5.5 | $0.00008 | $0.00979 |
| Sonnet 5.5 | $0.00004 | $0.00489 |
| Haiku 4.5 | $0.00002 | $0.00245 |
Grade A, and why
create-rule 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.
How it starts
The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Create Rule
OpenTaint is a whole-program, interprocedural, field-sensitive alias analysis engine. It already propagates through visible application code, calls, aliases, and individual fields; custom rules and approximations model only the assigned source, sink, or opaque-method boundary. Compile-time constants and literals carry no taint, so a source or carrier whose output is only a constant introduces nothing.
A unit names the source or sink members to detect. Identify an existing built-in or project library rule when it already implements the boundary, otherwise author a custom rule, then verify the unit against its test project. Every selected or created source rule must carry the unit's untrusted-data-source tag, and every selected or created sink rule must carry its unit group's *-sink tag. Production joins use those tags and are assembled later only when a new sink tag needs one.
Inputs
Provided by the caller, fall back to the default value when omitted. Ask back only when a required input is missing and has no sensible default
project-root(optional) — root of the target project. Opentaint keeps all analysis artifacts under the fixed<project-root>/.opentaint/directory, so every.opentaint/...path below resolves there. Default: current directorylanguage(required) — target language for this project and language-specific instructionsside(required) —sourcesorsinks; the unit's side. It selects the unit file, the sample style, and the test sub-projectunit(required) — the<package-kebab>identifying the unit. Its spec and tracking are in.opentaint/tracking/rules/<side>/<unit>.yaml; its test project is.opentaint/test-projects/<unit>/<side>and its compiled model.opentaint/test-compiled/<unit>/<side>fix-target(optional) — a created rule<path>#<id>the main scan flagged, plus the false positive or false negative to correct. When set, narrow or broaden that one rule instead of authoring from the unit
What ships with it
3 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.
- 1mo ago Changed · +8 lines f284d3d4f49c
- 1mo ago First seen · 133 lines · 19 tokens per session scan A 38b220c3a1f6
create-rule is a skill published in the GitHub repository seqra/opentaint (164 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 2,447 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 2026-08-30.
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