Borrowing it
Nothing to install: this file belongs to snyk-labs/snyk-vulnbench. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/snyk-labs/snyk-vulnbench/main/.agents/skills/benchmark-chart-generator/SKILL.mdgit clone --depth 1 https://github.com/snyk-labs/snyk-vulnbenchWrote 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/snyk-labs/snyk-vulnbench/benchmark-chart-generator)<a href="https://agentmods.dev/skills/snyk-labs/snyk-vulnbench/benchmark-chart-generator"><img src="https://agentmods.dev/badge/skills/snyk-labs/snyk-vulnbench/benchmark-chart-generator/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/snyk-labs/snyk-vulnbench/benchmark-chart-generator"><img src="https://agentmods.dev/badge/skills/snyk-labs/snyk-vulnbench/benchmark-chart-generator.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 | $0.00181 | $0.15076 |
| Opus 5.5 | $0.00072 | $0.06030 |
| Sonnet 5.5 | $0.00036 | $0.03015 |
| Haiku 4.5 | $0.00018 | $0.01508 |
Grade B, and why
benchmark-chart-generator scanned grade B 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 27d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt-get install -y librsvg2-bin How it starts
The opening of the file, as written. The whole thing — 1,062 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Benchmark Chart Generator
Instructions
Requirements
Requires read access to benchmark execution bundles or JSONL files in
results/ and write access to public/. The HTML/JSON/Markdown outputs are static files that can be opened
directly. PDF chart export requires jsdom to render the generated HTML and
rsvg-convert (librsvg2-bin on Debian) to convert rendered SVG charts to PDF.
Turn benchmark JSONL results into polished chart artifacts with Snyk Evo styling --
no manual HTML editing required. The primary output is a self-contained index.html
that opens directly in a browser, a figures/ directory containing one PDF per
rendered chart, plus chart-manifest.json and article-visuals.md so an
article-writing agent can understand and reference the visuals without reading the
full JSONL payload.
For security benchmark reports with repeated find-vulns raw run rows, preserve the
standard aggregate charts and add model-visible narrative charts. The most useful
article visuals should call out model configurations directly, not only aggregate
across all models. In practice, repeated security runs should include charts for:
model-by-model one-run-only unmatched findings, stable unmatched findings,
stable reference-matched findings, score variance by config, vulnerability-type
coverage by config, extra report types by model, the hardest/notable fixture by
config, and model-only score vs cost.
Use public-friendly fixture naming. Standard per-task aggregate sections should keep
their task names/fixture identifiers because they help the user look up the source
fixture. Headline-like, article-focused, or model-behavior charts should not expose
internal codenames in titles, captions, placeholders, or section headings. Use generic
labels such as "larger multi-file fixture" or "SQL-shaped mock helper fixture" and
store the exact taskId in dataSummary or manifest notes when lookup is needed.
The template lives at assets/report-template.html relative to this skill. It
contains all CSS, SVG chart rendering JS, and the Snyk Evo color palette. Your job
is to read the JSONL data, build compact chart specs, inject those specs into the
template, and write all output artifacts from the same source of truth.
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.
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.
- 27d ago Changed · +31 lines 005887d0869b
- 1mo ago First seen · 1,031 lines · 181 tokens per session scan B 7b7d6dfde5c8
benchmark-chart-generator is a skill published in the GitHub repository snyk-labs/snyk-vulnbench (4 stars, last pushed 14d ago), licensed Apache-2.0. It adds 181 tokens to every session and 15,076 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…