Semgrep
vigolium/piolium
Run Semgrep static analysis scan on a codebase using parallel subagents.
Create an OpenTaint test project with positive/negative samples for verifying a rule or approximation.
$ npx skills add seqra/opentaint --skill create-test-project -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install seqra/opentaint create-test-project --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/seqra/opentaint.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/create-test-project .claude/skills/create-test-project && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "create-test-project" agent skill from https://github.com/seqra/opentaint/tree/main/skills/create-test-project into .claude/skills/create-test-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-test-project", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/seqra/opentaint/tree/main/skills/create-test-projectType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add seqra/opentaint --skill create-test-project -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install seqra/opentaint create-test-project --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seqra/opentaint.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/create-test-project .agents/skills/create-test-project && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "create-test-project" agent skill from https://github.com/seqra/opentaint/tree/main/skills/create-test-project into .agents/skills/create-test-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-test-project", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add seqra/opentaint --skill create-test-project -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install seqra/opentaint create-test-project --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seqra/opentaint.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/create-test-project .cursor/skills/create-test-project && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "create-test-project" agent skill from https://github.com/seqra/opentaint/tree/main/skills/create-test-project into .cursor/skills/create-test-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-test-project", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/seqra/opentaint.git --path skills/create-test-project--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add seqra/opentaint --skill create-test-project -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install seqra/opentaint create-test-project --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seqra/opentaint.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/create-test-project .gemini/skills/create-test-project && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "create-test-project" agent skill from https://github.com/seqra/opentaint/tree/main/skills/create-test-project into .gemini/skills/create-test-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-test-project", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install seqra/opentaint create-test-projectInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add seqra/opentaint --skill create-test-project -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/seqra/opentaint.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/create-test-project .github/skills/create-test-project && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "create-test-project" agent skill from https://github.com/seqra/opentaint/tree/main/skills/create-test-project into .github/skills/create-test-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-test-project", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add seqra/opentaint --skill create-test-project -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install seqra/opentaint create-test-project --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/seqra/opentaint.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/create-test-project .opencode/skills/create-test-project && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "create-test-project" agent skill from https://github.com/seqra/opentaint/tree/main/skills/create-test-project into .opencode/skills/create-test-project/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-test-project", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
create-test-projectCreate an OpenTaint test project with positive/negative samples for verifying a rule or approximation.
Create Test Project is an agent skill from seqra/opentaint. Create an OpenTaint test project with positive/negative samples for verifying a rule or approximation. Use when a rule or approximation needs a test project to check against
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/java-approximation.md`, `references/java-rule.md` and `references/java-spring-multimodule.md`).
It sits in Security, covering Static analysis and SAST. The repository describes itself as: The open source taint analysis engine for the AI era. A formal dataflow analysis tool you can customize and self-host, built so AI agents drive your application security analysis… The licence is Apache-2.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit f945f92. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml and bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Create Test Project loads about 2.3k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 1,075 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from seqra/opentaint at commit f945f92, republished under its Apache-2.0 licence (© seqra). 1,075 words, ~2,310 tokens.
.claude/skills/create-test-project/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Build a minimal compiled test project whose samples reproduce the flow a rule or approximation is verified against. A sample routes data between a real library method and the generic taint marker the scaffold provides, with the one verdict it must produce — a positive that must flag, a negative that must not. The compiled model is the deliverable; its sample sources sit alongside it.
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 instructionstype (required) — what this project verifies, selecting the sample style and the identifying inputs below: rule-source, rule-sink, or dataflowrule-source / rule-sink — unit: the unit id; its members and dependencies come from .opentaint/tracking/rules/sources|sinks/<unit>.yamldataflow — batch: the batch whose .opentaint/tracking/approximations/<batch>.yaml provides the dataflow methods to exercise and their dependenciesThe project folder <name> is that identifier — the unit for a rule side, the batch for a dataflow approximation.
The scaffold command and sample form are language-specific — read the reference for your type: references/<lang>-rule.md for rule-source / rule-sink, or references/<lang>-approximation.md for dataflow (one self-contained reference, no need to read the other). Scaffold the project for the type, passing each of the unit's dependencies at its pinned version. The scaffold provides the generic taint marker and the fixed test rule the samples run against, so you author only the samples. If the <name> project already exists — re-invoked because its surface grew or a dependency moved — extend it instead: add the missing samples and recompile rather than scaffolding fresh. The init command is in that reference.
For a unit or batch, each entry records its signature; shape a faithful sample from how that callable is really used in the project. The app's real path is irrelevant, only that data flows between the boundary and the marker:
For a sink unit, the methods are nested under groups[].sinks, exercise every method while preserving the group boundaries for the later rule author.
rule-test.yamlThe sample code, the rule-test.yaml form, and which verdicts a type needs are in that reference.
Compile the project you built to .opentaint/test-compiled/<name> — a rule side compiles the one sub-project you scaffolded (sources/ or sinks/) to the matching sub-model, a dataflow project compiles once:
# rule side — the one you built
opentaint compile .opentaint/test-projects/<name>/sources -o .opentaint/test-compiled/<name>/sources
# dataflow
opentaint compile .opentaint/test-projects/<name> -o .opentaint/test-compiled/<name>A clean compile is the deliverable. Feedback loop: a build failure is a fixable samples-or-dependencies problem — surface the real error, fix it, and recompile. On a clean compile set the test-project stage done (per Tracking).
When a project won't compile after ~3 fixes with no clear cause → report the failure and leave the test-project stage pending, for the orchestrator to intervene.
Short and concise report of what was done
.opentaint/test-compiled/<name> — the compiled test model a later stage runs against; report each path and the exact compile command used.opentaint/test-projects/<name> — the sample sources and the rule-test.yaml that records their verdicts, alongside the modelfailed), with a brief reasonThis skill writes only the test-project stage back:
stages.test_project: done in the source or sink unitbuild.test_project entry per method in the batch file, status: done for a method whose sample made it into the project, status: failed for one no sample could be written for (excluded).opentaint/tracking/rules/sources/<package-kebab>.yaml — one source unit per package (a dependency can span several packages), the file named for that package with . → -. tag is always the reusable untrusted-data-source group. dependencies names the dependency the package comes from, sources each an entry point { method, signature, note, rule_id } (method and signature use the exact language-specific identifiers from the plan), stages tracks the unit through rule authoring, and a blocker string is added under it when the unit can't be made to pass. Keep it clear from comments
dependencies:
- <dependency-id>
tag: untrusted-data-source
sources:
- { method: "<qualified-member>", signature: "<language-signature>", note: untrusted message payload, rule_id: null }
stages:
test_project: pending
tests_passing: pending.opentaint/tracking/rules/sinks/<package-kebab>.yaml — one sink unit per package (a dependency can span several packages, each its own unit), the file named for that package with . → -. dependencies names the dependency the package comes from. groups partitions the package's dangerous operations by reusable sink tag; each group is { tag, sinks }, and each sink is { method, signature, note, rule_id }. The tag belongs to the group, never to an individual method: one rule may cover several methods and several rules may extend the same vulnerability family. method and signature use the exact language-specific identifiers from the plan. stages tracks the unit through rule authoring. Keep it clear from comments
dependencies:
- <dependency-id>
groups:
- tag: path-traversal-sink
sinks:
- { method: "<qualified-member>", signature: "<language-signature>", note: writes data to an untrusted path, rule_id: null }
stages:
test_project: pending
tests_passing: pending.opentaint/tracking/approximations/<batch>.yaml — one batch's callable classification, <batch> the plan's filename stem. Every callable sits in exactly one verdict bucket, keyed with the exact language-specific method and signature from the plan so distinct variants stay separate:
passthrough, dataflow — modeled carriers; each entry { method, signature }skipped — terminal non-carriers; each { method, signature, reason }engine_issues — a separate bucket for carriers the engine provably can't propagate (built but still dropped); each { method, signature, reason }. Terminal and treated just like skipped — the only difference is the reason. merge-skipped carries it into skipped.yaml as its own engine_issues group alongside the regular skipped methods.dependencies lists the dependency identifiers a dataflow test project needs. The build block tracks the build — test_project records each dataflow method's test-project status (done if a sample was written into the batch's test project, failed if none could be written so the method was excluded from it), and done holds the finished { method, signature }. Keep it clear from comments
passthrough:
- { method: "<qualified-member-a>", signature: "<language-signature-a>" }
dataflow:
- { method: "<qualified-member-b>", signature: "<language-signature-b>" }
skipped:
- { method: "<qualified-member-c>", signature: "<language-signature-c>", reason: "retains none of its input data" }
engine_issues: []
dependencies: []
build:
test_project:
- { method: "<qualified-member-b>", signature: "<language-signature-b>", status: done }
done: []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.
<name> folder per unit — never write into another unit's test project, so concurrent agents don't race© seqra, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/create-test-project of seqra/opentaint.
Open the folder on GitHubat commit f945f92
Create Test Project next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Create Test Project this skillseqra/opentaint | 162 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Semgrepvigolium/piolium | 138 | 1 repos | ~2.4k | Automated safety check: Notes | MIT | |
| C To AstNarwhal-Lab/MagicSkills | 316 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Semgrep Security Scantrailofbits/skills | 7.4k | — | ~3.7k | Automated safety check: Notes | CC-BY-SA-4.0 | |
| LLM Sast ScannerSunWeb3Sec/llm-sast-scanner | 286 | — | ~6.2k | Automated safety check: Pass | None | |
| Sast SemgrepAgentSecOps/SecOpsAgentKit | 219 | 2 repos | ~2.4k | Automated safety check: Pass | Custom licence |
vigolium/piolium
Run Semgrep static analysis scan on a codebase using parallel subagents.
Narwhal-Lab/MagicSkills
Parse C source code into an Abstract Syntax Tree (AST). An agent skill from Narwhal-Lab/MagicSkills.
trailofbits/skills
Detects languages, proposes rulesets for approval, then runs the approved Semgrep scan across a codebase and merges the output into one SARIF file.
SunWeb3Sec/llm-sast-scanner
General-purpose Static Application Security Testing (SAST) skill for code vulnerability analysis.
AgentSecOps/SecOpsAgentKit
Static application security testing (SAST) using Semgrep for vulnerability detection, security code review, and secure coding guidance with OWASP and CWE framework mapping.
Automattic/agent-skills
A skill your agent uses when configuring, running, or fixing PHPStan static analysis in WordPress projects (plugins/themes/sites): phpstan.neon setup, baselines, WordPress-specific typing, and…
seqra/opentaint
Analyze an OpenTaint scan's dropped external methods and decide which of them are propagators and optionally sinks.
seqra/opentaint
Model a method's taint propagation as code-based dataflow approximation and refine it against a test project until the sample passes.
seqra/opentaint
Run one stage of the OpenTaint pipeline by coordinating leaf subagents and deterministic joins.
seqra/opentaint
Run an end-to-end OpenTaint application-security analysis while owning the long project build and scans and delegating each other pipeline stage.
seqra/opentaint
Build a target project into an opentaint project model. An agent skill from seqra/opentaint.
seqra/opentaint
Model a method's taint propagation as a passThrough approximation.
Categories
Create an OpenTaint test project with positive/negative samples for verifying a rule or approximation. Create Test Project is an agent skill from seqra/opentaint. Create an OpenTaint test project with positive/negative samples for verifying a rule or approximation.
Create Test Project fits situations like: approximation needs a test project to check against; tasks that involve Static analysis and SAST.
Run `npx skills add seqra/opentaint --skill create-test-project -a claude-code`. Or copy the skill folder (skills/create-test-project in seqra/opentaint) into .claude/skills/create-test-project in your project. Claude Code loads it when a task matches its description.
Run `npx skills add seqra/opentaint --skill create-test-project -a codex`. Or copy the skill folder (skills/create-test-project in seqra/opentaint) into .agents/skills/create-test-project in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add seqra/opentaint --skill create-test-project -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-test-project, .gemini/skills/create-test-project, .github/skills/create-test-project and .opencode/skills/create-test-project in your project.
SKILL.md names no scripts, command-line tools or credentials: Create Test Project is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Create Test Project is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Create Test Project: Semgrep (vigolium/piolium, 138 stars), C To Ast (Narwhal-Lab/MagicSkills, 316 stars), Semgrep Security Scan (trailofbits/skills, 7.4k stars) and LLM Sast Scanner (SunWeb3Sec/llm-sast-scanner, 286 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
seqra (a GitHub organization) maintains it in seqra/opentaint, which has 162 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 7, 2026.
Source: seqra/opentaint on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.