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 dayfinggg/openai-codex-agent-skills --skill sarif-parsinggit clone --depth 1 https://github.com/dayfinggg/openai-codex-agent-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/dayfinggg/openai-codex-agent-skills/sarif-parsing)<a href="https://agentmods.dev/skills/dayfinggg/openai-codex-agent-skills/sarif-parsing"><img src="https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/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.
<a href="https://agentmods.dev/skills/dayfinggg/openai-codex-agent-skills/sarif-parsing"><img src="https://agentmods.dev/badge/skills/dayfinggg/openai-codex-agent-skills/sarif-parsing.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 | $0.00026 | $0.04454 |
| Opus 5.5 | $0.00010 | $0.01782 |
| Sonnet 5.5 | $0.00005 | $0.00891 |
| Haiku 4.5 | $0.00003 | $0.00445 |
Grade A, and why
sarif-parsing 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 today.
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 — 491 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Read local host integration before applying this imported workflow.
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. This skill processes existing result files.
- Writing or maintaining scanner rules.
- 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
│ ├── ruleIndex (index into tool.driver.rules[])
│ ├── level (OPTIONAL, inherited from the rule when absent)
│ ├── message.text
│ ├── locations[]
│ │ └── physicalLocation
│ │ ├── artifactLocation.uri
│ │ └── region (startLine, startColumn, etc.)
│ ├── fingerprints{}
│ └── partialFingerprints{}
└── artifacts[] (scanned files metadata)
Severity Is Not Always on the Result
result.level is optional. CodeQL omits it on every result and records severity on the
rule as defaultConfiguration.level, which the result inherits. Read result.level
directly and a CodeQL run scores as clean however many errors it found, which is how a
severity gate ends up exiting 0 on a failing repo.
What ships with it
6 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.
- today First seen · 491 lines · 26 tokens per session scan A 33134ec356ec
sarif-parsing is a skill published in the GitHub repository dayfinggg/openai-codex-agent-skills (8 stars, last pushed today), licensed MIT. It adds 26 tokens to every session and 4,454 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 2026-10-30.
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