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 JasonColapietro/suede-creator-skills --skill suede-asogit clone --depth 1 https://github.com/JasonColapietro/suede-creator-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/jasoncolapietro/suede-creator-skills/suede-aso)<a href="https://agentmods.dev/skills/jasoncolapietro/suede-creator-skills/suede-aso"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-aso/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/jasoncolapietro/suede-creator-skills/suede-aso"><img src="https://agentmods.dev/badge/skills/jasoncolapietro/suede-creator-skills/suede-aso.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 103 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00146 | $0.03440 |
| Opus 5 | $0.00073 | $0.01720 |
| Sonnet 5 | $0.00029 | $0.00688 |
| Haiku 4.5 | $0.00015 | $0.00344 |
Grade A, and why
suede-aso 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 13d 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Suede ASO Audit
Analyze App Store and Google Play listings with the Suede ASO scoring system. Fetch live listing data, score metadata, visuals, and ratings, then produce a prioritized action plan.
Before Auditing
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Phase 1 — Identify Store & Fetch
Detect store type from URL
Apple: apps.apple.com/{country}/app/{name}/id{digits}
Google: play.google.com/store/apps/details?id={package}
If the user gives an app name instead of a URL, search the web for:
site:apps.apple.com "{app name}" or site:play.google.com "{app name}"
Fetch the listing
Use WebFetch to retrieve the listing page. Extract every available field:
Apple App Store fields:
- App name (title) — 30 char limit
- Subtitle — 30 char limit
- Description (long) — not indexed for search, but matters for conversion
- Promotional text — 170 chars, updatable without new release
- Category (primary + secondary)
- Screenshots (count, order, caption text)
- Preview video (presence, duration)
- Rating (average + count)
- Recent reviews (visible ones)
- Price / in-app purchases
- Developer name
- Last updated date
- Version history notes
- Age rating
- Size
- Languages / localizations listed
- In-app events (if any visible)
Google Play fields:
- App name (title) — 30 char limit
- Short description — 80 char limit
- Full description — 4,000 char limit, IS indexed for search
- Category + tags
- Feature graphic (presence)
- Screenshots (count, order)
- Preview video (presence)
- Rating (average + count)
- Recent reviews (visible ones)
- Price / in-app purchases
- Developer name
- Last updated date
- What's new text
- Downloads range
- Content rating
- Data safety section
- Languages listed
What ships with it
8 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.
- 13d ago First seen · 310 lines · 146 tokens per session scan A 000b07e800b3
suede-aso is a skill published in the GitHub repository JasonColapietro/suede-creator-skills (135 stars, last pushed today), licensed MIT. It adds 146 tokens to every session and 3,440 once invoked, about $0.0007 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.
Other skills, from other repositories
run-simulator
Build and launch the app in the iOS Simulator. Automatically selects an appropriate simulator device, boots it if needed, and installs and launches the app.
react-native
React Native and Expo patterns for building performant mobile apps. Covers list performance, animations with Reanimated, navigation, UI patterns, state management, platform-specific code, and Expo workflows. Use when building or reviewing React Native code. Triggers: 'react native', 'expo', 'mobile app', 'react native…
skill-router
Use when a [skill-router] route card appears in the turn, when no card appeared on a non-trivial task, or when a route looks wrong. Routes every prompt to the right installed skill, pairs it with a process skill, tiers enforcement, and briefs sub-agents. 79 local skills + plugin skills indexed.
generate-report
Generate a comprehensive summary report of the latest experiment including metrics, plots, and comparison with baseline. Use this after training and evaluation to create a shareable experiment summary.
evaluate-model
Load the latest model checkpoint, run evaluation on the test set, and generate a metrics report with confusion matrix. Use this after training to assess model performance or to re-evaluate a specific checkpoint.
run-pipeline
Run the full data science pipeline: validate raw data, preprocess, engineer features, train model, and evaluate. Use this when you want to execute the end-to-end ML pipeline or re-run it after data or code changes.