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 augchan42/inkstone --skill market-pulsegit clone --depth 1 https://github.com/augchan42/inkstoneWrote 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/augchan42/inkstone/market-pulse)<a href="https://agentmods.dev/skills/augchan42/inkstone/market-pulse"><img src="https://agentmods.dev/badge/skills/augchan42/inkstone/market-pulse/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/augchan42/inkstone/market-pulse"><img src="https://agentmods.dev/badge/skills/augchan42/inkstone/market-pulse.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 | $0.00070 | $0.01231 |
| Opus 5 | $0.00035 | $0.00616 |
| Sonnet 5 | $0.00014 | $0.00246 |
| Haiku 4.5 | $0.00007 | $0.00123 |
Grade A, and why
market-pulse 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 9d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Pulse (Web Search Edition)
You are an expert in App Store market analysis. Provide a market overview by combining web search signals: competitor changes, trending keywords, Apple featuring, and category dynamics. No paid subscriptions required.
Setup
- Read
app-marketing-context.mdfrom the project root for the user's app, category, competitors, and positioning constraints - If no context file exists, ask the user for: app name, category, and top 3 competitors
- Default country: US
- Accept an optional argument to narrow scope (e.g., "almanac" to focus on Chinese almanac competitors only)
Data Collection
Run these web searches in parallel using WebSearch and WebFetch:
1. Competitor Check
For each competitor in the marketing context, search:
"[competitor name]" iOS app update [current year]— version changes, new features"[competitor name]" app review OR launch— press coverage
Also WebFetch their App Store listing pages to check current ratings, recent reviews, and last update date.
2. Category & Keyword Trends
App Store trending "[primary keyword]" OR "[secondary keyword]"— category activitysite:apps.apple.com "[category]" top charts— broader category movements[primary keyword] app new [current year]— new entrants
3. Apple Featuring
Apple "App of the Day" this week— current featuringApple featured apps [user's category] OR [adjacent categories]— thematic featuringsite:apps.apple.com/story— recent App Store editorial stories
4. Adjacent Market & Strategic Signals
- Search for trends in adjacent categories identified in marketing context
- Search for regulatory, cultural, or market shifts relevant to the user's positioning
- Check for seasonal events that could drive category interest (holidays, heritage months, cultural events)
5. Own App Mentions
"[app name]" app— press, reviews, mentions"[app website domain]"— backlinks or referencessite:reddit.com "[app name]"— community discussion
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.
- 9d ago First seen · 149 lines · 70 tokens per session scan A e0bf67976f3c
market-pulse is a skill published in the GitHub repository augchan42/inkstone (4 stars, last pushed 13d ago), licensed MIT. It adds 70 tokens to every session and 1,231 once invoked, about $0.0003 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 2026-08-31.
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