sarif-parsing

sarif-parsing is a skill for Claude Code from marduk191/qwen3_mcp. It costs 56 tokens per session (3,695 once invoked), scanned A, a copy of sarif-parsing, MIT.

A tool for reading and processing SARIF files, a standard format used to store results from code-security and static-analysis scanners. It works with findings that have already been produced by those tools.

In plain words
What is it for?
Use it to analyze SARIF reports, combine results from several scanners, prepare security findings for automated pipelines, or convert them into other formats.
Why use it?
It helps turn scan output into organized results by combining findings, removing duplicates, filtering alerts, and extracting specific vulnerabilities.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the static-analysis plugin — 3 skills shipped together

Good fit Use it to analyze SARIF reports, combine results from several scanners, prepare security findings for automated pipelines, or convert them into other formats.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marduk191/qwen3_mcp/sarif-parsing
Install

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.

Any agent
npx skills add marduk191/qwen3_mcp --skill sarif-parsing
Clone the repo
git clone --depth 1 https://github.com/marduk191/qwen3_mcp

Made for: Claude Code.

Or install static-analysis, the plugin that ships this one along with the rest of its 3 skills.

Wrote 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.

agentmods badge for sarif-parsing

README.md
[![agentmods](https://agentmods.dev/badge/skills/marduk191/qwen3_mcp/sarif-parsing/github.svg)](https://agentmods.dev/skills/marduk191/qwen3_mcp/sarif-parsing)
Your own site
<a href="https://agentmods.dev/skills/marduk191/qwen3_mcp/sarif-parsing"><img src="https://agentmods.dev/badge/skills/marduk191/qwen3_mcp/sarif-parsing/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.

agentmods 80×15 button for sarif-parsing

Your own site · 80×15
<a href="https://agentmods.dev/skills/marduk191/qwen3_mcp/sarif-parsing"><img src="https://agentmods.dev/badge/skills/marduk191/qwen3_mcp/sarif-parsing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,695 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 88% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.03695
Opus 5 $0.00028 $0.01847
Sonnet 5 $0.00011 $0.00739
Haiku 4.5 $0.00006 $0.00369

Measured 12d ago against content hash cd105f0d4498, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

sarif-parsing scanned grade A with 1 finding 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (resources/sarif_helpers.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

from urllib.parse import unquote
Origin

This is a copy

88% identical to sarif-parsing — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/static-analysis/skills/sarif-parsing/SKILL.md · 480 lines

How it starts

The opening of the file, as written. The whole thing — 480 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SARIF Parsing Best Practices

You are a SARIF parsing expert. Your role is to help users effectively read, analyze, and process SARIF files from static analysis tools.

When to Use

Use this skill when:

  • Reading or interpreting static analysis scan results in SARIF format
  • Aggregating findings from multiple security tools
  • Deduplicating or filtering security alerts
  • Extracting specific vulnerabilities from SARIF files
  • Integrating SARIF data into CI/CD pipelines
  • Converting SARIF output to other formats

When NOT to Use

Do NOT use this skill for:

  • Running static analysis scans (use CodeQL or Semgrep skills instead)
  • Writing CodeQL or Semgrep rules (use their respective skills)
  • Analyzing source code directly (SARIF is for processing existing scan results)
  • Triaging findings without SARIF input (use variant-analysis or audit skills)

SARIF Structure Overview

SARIF 2.1.0 is the current OASIS standard. Every SARIF file has this hierarchical structure:

sarifLog
├── version: "2.1.0"
├── $schema: (optional, enables IDE validation)
└── runs[] (array of analysis runs)
    ├── tool
    │   ├── driver
    │   │   ├── name (required)
    │   │   ├── version
    │   │   └── rules[] (rule definitions)
    │   └── extensions[] (plugins)
    ├── results[] (findings)
    │   ├── ruleId
    │   ├── level (error/warning/note)
    │   ├── message.text
    │   ├── locations[]
    │   │   └── physicalLocation
    │   │       ├── artifactLocation.uri
    │   │       └── region (startLine, startColumn, etc.)
    │   ├── fingerprints{}
    │   └── partialFingerprints{}
    └── artifacts[] (scanned files metadata)

Why Fingerprinting Matters

Without stable fingerprints, you can't track findings across runs:

  • Baseline comparison: "Is this a new finding or did we see it before?"
  • Regression detection: "Did this PR introduce new vulnerabilities?"
  • Suppression: "Ignore this known false positive in future runs"

Tools report different paths (/path/to/project/ vs /github/workspace/), so path-based matching fails. Fingerprints hash the content (code snippet, rule ID, relative location) to create stable identifiers regardless of environment.

Read the full file on GitHub · 480 lines

Files

What ships with it

2 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.

Changes

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.

  1. 12d ago First seen · 480 lines · 56 tokens per session scan A cd105f0d4498

Subscribe to this mod's changes

sarif-parsing is a skill published in the GitHub repository marduk191/qwen3_mcp (13 stars, last pushed 7mo ago), licensed MIT. It adds 56 tokens to every session and 3,695 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to sarif-parsing, differing in 12 lines, and is treated as a copy.

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