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 jiahuiqu17/paper-signal --skill paper-signal-auditgit clone --depth 1 https://github.com/jiahuiqu17/paper-signalWrote 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/jiahuiqu17/paper-signal/paper-signal-audit)<a href="https://agentmods.dev/skills/jiahuiqu17/paper-signal/paper-signal-audit"><img src="https://agentmods.dev/badge/skills/jiahuiqu17/paper-signal/paper-signal-audit/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/jiahuiqu17/paper-signal/paper-signal-audit"><img src="https://agentmods.dev/badge/skills/jiahuiqu17/paper-signal/paper-signal-audit.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 | $0.00115 | $0.00701 |
| Opus 5 | $0.00057 | $0.00351 |
| Sonnet 5 | $0.00023 | $0.00140 |
| Haiku 4.5 | $0.00012 | $0.00070 |
Grade A, and why
paper-signal-audit 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 12d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Signal Audit
Judge the image that exists, not the prompt that intended it.
Load the audit basis
Read from ../paper-signal/:
references/subject-routing.mdreferences/visual-language.mdreferences/quality-contract.mdreferences/restyle-contract.mdfor edits
Read the project prompt, manifest, preservation record, outline, and evidence ledger when available.
Audit workflow
- Inspect every local image with
view_imageat original detail. - Identify the delivery route, subject route, and intended composition mode from artifacts; infer them explicitly when artifacts are missing.
- Compare the raster against protected subject details, exact text, factual claims, and requested aspect ratio.
- Inspect at full size for identity, geometry, paper, image integration, type, print defects, and AI artifacts.
- Inspect at thumbnail size for subject recognition, chromatic signal, hierarchy, and series recognition.
- For a series, compare the whole sequence for material continuity, composition variety, pacing, and cloned-layout drift.
- Rank findings by severity and give one correction path per failed image.
Report format
Lead with the verdict:
Pass— ready to usePass with refinements— usable; small craft changes would improve itRegenerate— one or more blocking failures
Then report only observed issues:
| Severity | Image | Observation | Why it matters | Targeted correction |
|---|
Separate:
- blocking: subject drift, false/wrong text, wrong ratio, unreadable essential content, missing output
- major: generic template composition, weak subject scale, incoherent print process, pseudo-language, muddy hierarchy
- minor: slightly weak signal, texture repetition, edge or safe-zone refinement
Do not praise or criticise with unsupported adjectives. Point to visible evidence.
Anti-AI diagnosis
Check specifically for:
- meaningless microtext or faux Asian characters
- generic birds, moons, stairs, doors, flowers, and registration marks unrelated to content
- uniformly applied vintage noise
- beige template plus clean modern typography
- perfect vector spacing under fake paper texture
- waxy faces, altered identity, impossible hands, warped buildings, or invented product details
- random collage fragments with no visual thesis
- empty space that creates no direction or tension
What ships with it
1 file 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.
- 12d ago First seen · 73 lines · 115 tokens per session scan A ef14cee8923a
paper-signal-audit is a skill published in the GitHub repository jiahuiqu17/paper-signal (109 stars, last pushed 1mo ago), licensed MIT. It adds 115 tokens to every session and 701 once invoked, about $0.0006 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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