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 QinghongLin/data2story-skill --skill auditorgit clone --depth 1 https://github.com/QinghongLin/data2story-skillWrote 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/qinghonglin/data2story-skill/auditor)<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/auditor"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/auditor/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/qinghonglin/data2story-skill/auditor"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/auditor.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 | $0.00159 | $0.06187 |
| Opus 5 | $0.00079 | $0.03093 |
| Sonnet 5 | $0.00032 | $0.01237 |
| Haiku 4.5 | $0.00016 | $0.00619 |
Grade A, and why
auditor 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 10d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Auditor
Your job is build correctness — does every element actually render correctly, and is each one right? You audit in two layers:
- Live render audit (PRIMARY, when a browser is available): actually open the page in a real headless Chrome, measure every element's true pixel box, capture console errors, screenshot it, and have vision agents look at the result. This catches the whole class of render-time bugs that source inspection is blind to — e.g. a chart whose CSS reads
width:100%but renders 0 px wide (invisible), an<img>that 404s, a slider that does nothing. - Static analysis (FALLBACK + complement): grep/code checks for known layout pitfalls, plus VIEWING each image yourself for a wrong/garbled subject or an AI render faking a specific real object (e.g. a fake World Cup trophy).
You fix layout/markup directly; correctness problems you can't fix with a safe markup edit (a wrong/fake image, a blank chart from missing data, a mis-wired interactive, a missing asset) you record and send back to the owning role — you never redesign, rewrite prose, or regenerate assets yourself.
Setup
PROJECT_DIR= first argumentSKILL_DIR= the directory containing thisSKILL.md(its capture script is atSKILL_DIR/scripts/render_capture.js)- Required:
PROJECT_DIR/index.html; also readPROJECT_DIR/designer.json(asset intents),PROJECT_DIR/editor.md(narrative), and listPROJECT_DIR/assets/
Step 0 — Live render audit (REAL browser)
Run the capture harness — it drives the installed Chrome/Edge via puppeteer-core (no Chromium download), serves the blog over a local http server, and writes hard signals + screenshots:
node "SKILL_DIR/scripts/render_capture.js" "PROJECT_DIR" index.html --probe
- If stdout is
{"skip":true,...}(puppeteer-core or a browser isn't available), log it and continue at Step 1 (static-only). Never hard-fail because a browser is missing — the skill stays portable. But the run is nowUNVERIFIED-for-render: with no real browser, the whole render class (blank/0-width charts, broken/oversized media, overflow, a leaked stylesheet, dead interactions) is unchecked, so the page must NOT be presented as flagship-verified. Setauditor.json.render_audit.ran=falseANDauditor.json.render_audit.status="UNVERIFIED-for-render", and carry that status into the final deliverable — this is not a silent log-and-continue-as-flagship. See the Report section for how it propagates. - Otherwise read
PROJECT_DIR/audit/render_report.json. Itsfindingsare hard, deterministic facts — treat them as ground truth, above anything the source CSS implies:zeroWidthCharts/zeroHeightCharts/chartsWithNoRender/hiddenCharts→ a chart that did not actually render → blank-chart defect. (Detection is generic: it unions.vega-embed,svg/canvasinside[data-des], and[id^="des_"]mounts, so it works regardless of how the Programmer named the mount; an explorable wrapper that nests its own mount + controls is not counted as a blank leaf chart.)brokenImages→ an<img>that loaded 0×0 → broken/missing image. (Lazyimg[data-src]backgrounds are scrolled into view before measuring and excluded if never swapped, so only genuinely broken images report.)visibleCssLeak(non-empty) → raw CSS/JS is rendering as visible body text — the classic symptom of a premature</style>(a stray</style>, often inside a CSS comment, closes the raw-text<style>element early so the rest of the stylesheet dumps onto the page as text, conspicuous on mobile). Detected from the rendered text node (selector +{prop:value}rule, or a chainedprop:value;declaration run), so source inspection can't hide it. This is a layout/markup fix-in-place: locate the premature close in the offending<style>(cross-checkvalidate.py'spremature_style_close) and escape the comment-internal token as<\/style>so only the real close remains. Re-render to confirmvisibleCssLeakis empty.horizontalOverflow: true→ content runs off the page (desktop, 1280px).mobile.horizontalOverflow: true→ content runs off the page at a phone viewport (~390×844). The harness runs a separate mobile pass (reported undermobile:{}with_mobile.png). Mobile overflow is a real defect — virality is mobile — and gets the same fix-in-place treatment as desktop overflow (responsive width constraints on the offending chart/table/element). Don't dismiss it because desktop is clean.oversizedAssets/performance.totalOverBudget→ an asset (or the whole page) blows the performance budget: audio > 3 MB, single image > 600 KB, video > 3 MB, total payload > ~8 MB. A heavy payload (e.g. a 14 MB FLAC) silently tanks mobile load. This is a send-back to the owning role (Designer for generated media, Scout for sourced media: re-encode/compress/trim or pick a lighter asset) recorded asoversized_asset— not a layout fix.oversized_assetstays for the disjoint referenced-AND-over-budget case; a heavy unreferenced master is not yours to compress —render_report.performance.unreferencedAssetsis now ACTIONED downstream (the Inspector'srelocate_unreferenced.pymoves it toprovenance/at Stage 7, andvalidate.pySection 16 then assertsassets/ships no unreferenced heavy master —asset_unreferenced_heavy), so just report it, don't compress it.consoleentries of typeerror/pageerror/requestfailed→ a JS error or a 404 on an asset (e.g. a missing video/poster). Each maps to a fix-in-place (layout) or a send-back (content) per the Rules below.
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.
- 10d ago First seen · 138 lines · 159 tokens per session scan A ca87a8ede1d3
auditor is a skill published in the GitHub repository QinghongLin/data2story-skill (155 stars, last pushed 2mo ago), licensed MIT. It adds 159 tokens to every session and 6,187 once invoked, about $0.0008 per session on Opus 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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