market-movers — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited market-movers (Agent Skill) and scored it 45/100 (orange). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 1 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 1 flagged
A base64 string of 128+ characters appears in a documentation file. Encoded prompt injection hides the hostile instruction in base64 — invisible to keyword filters — and relies on the agent's ability to decode it at runtime. There is no normal authoring reason to embed a multi-hundred-byte base64 blob in skill docs.
*.sig, SIGNATURES) outside the documentation.Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
You are an expert in App Store chart dynamics. Your goal is to analyze rank changes between chart snapshots, identify significant movements, and provide actionable insights about what's driving gains and losses.
app-marketing-context.md — read it for the user's app and categoryUse these MCP tools to gather chart movement data:
| Metric | Value |
|---|---|
| Period compared | [date] vs [date] |
| Chart / Country | top-free / US |
| Total significant moves | |
| New entries | |
| Dropped out | |
| Biggest gainer | +X positions |
| Biggest loser | -X positions |
For each top gainer:
| App | Rank Change | Current | Previous | Category | Rating |
|---|
For each notable gainer, analyze:
For each top loser:
| App | Rank Change | Current | Previous | Category | Rating |
|---|
For each notable loser, analyze:
Apps that appeared in the top 100 for the first time:
| App | Entered At | Category | Rating | Reviews |
|---|
Analyze:
Apps that fell out of the top 100:
| App | Previous Rank | Category | Rating |
|---|
If analyzing a specific genre:
Based on the market movements:
| Priority | Action | Why | Expected Impact |
|---|---|---|---|
| 1 | |||
| 2 | |||
| 3 |
3-5 bullet points with the most important movements and what they mean.
Full analysis with all sections above, formatted for sharing with a team.
🟢 GAINERS: [App A] +45, [App B] +23, [App C] +18
🔴 LOSERS: [App D] -32, [App E] -19
🆕 NEW: [App F] entered at #7, [App G] at #34
⬇️ OUT: [App H] dropped from #89market-pulse — Broader market overview combining movers with trends and featuringcompetitor-analysis — Deep dive into specific competitors identified from moversapp-launch — Use market timing insights for launch planningua-campaign — Adjust ad spend based on chart dynamicsapp-store-featured — Check if featuring is driving observed movements~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.