Borrowing it
Nothing to install: this file belongs to pandulapeter/campfire. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/pandulapeter/campfire/master/.claude/skills/store-screenshots/SKILL.mdgit clone --depth 1 https://github.com/pandulapeter/campfireWrote 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/pandulapeter/campfire/store-screenshots)<a href="https://agentmods.dev/skills/pandulapeter/campfire/store-screenshots"><img src="https://agentmods.dev/badge/skills/pandulapeter/campfire/store-screenshots/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/pandulapeter/campfire/store-screenshots"><img src="https://agentmods.dev/badge/skills/pandulapeter/campfire/store-screenshots.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 | $0.00190 | $0.02290 |
| Opus 5.5 | $0.00076 | $0.00916 |
| Sonnet 5.5 | $0.00038 | $0.00458 |
| Haiku 4.5 | $0.00019 | $0.00229 |
Grade A, and why
store-screenshots 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 4d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Campfire store images
Every image is made from the desktop build drawn offscreen as each platform (the platforms share every line of the
interface and its bundled fonts), with that platform's scale and system bars. Nothing here touches the production apps:
the tool is tools/screenshots, which no app module depends on, and the only seam in the app is PlatformImpersonation
in :presentation's desktop source set, which the desktop app never sets. See tools/screenshots/CLAUDE.md for how the
tool works.
What a run needs
- The library, in
tools/screenshots/library/(gitignored, never committed): a Campfire data folder'slibrary/,covers/andpreferences/preferences.json, stripped to what the images show. If it is missing, stop and ask. Never write into the user's real data folder. Its setlists were trimmed for the shots (Frey-Tully Nuptials and Getting started); keep them that way. - Nothing else building in the clone while a render runs: a jar rebuilt under it fails later shots with a
ClassNotFoundExceptionwhile the run still reports them written. - Pillow for the contact sheets (
python3 -m pip install Pillowwhereimport PILfails).
Where everything goes
Everything lands in ~/Desktop/Campfire store images <version>/ (campfire.versionName), replaced by every run, as
PNG with no alpha channel (Apple refuses screenshots that have one, Play a feature graphic) but for Play's icon:
| What | Made from | File |
|---|---|---|
| Store listings (9 devices × 8 shots × every language) | Shot.kt, the texts in documentation/store-listings/screenshot-texts/<language>.md, ListingChipStyles.kt |
<store>/<language>/<device>-<n>.png |
| Play Store feature graphic (every language) and icon | Compositions.kt |
google-play/<language>/feature-graphic.png, google-play/icon.png |
Apple's product page header and search results image (every language; the caption is search-results in the texts) |
Compositions.kt |
app-store/<language>/header.png, app-store/<language>/search-results.png |
| Microsoft's poster and box art | Compositions.kt |
microsoft-store/poster-art.png, microsoft-store/box-art.png |
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.
- 4d ago First seen · 111 lines · 190 tokens per session scan A 19598cec1827
store-screenshots is a skill published in the GitHub repository pandulapeter/campfire (119 stars, last pushed yesterday), licensed MPL-2.0. It adds 190 tokens to every session and 2,290 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-11-02.
store-screenshots compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| store-screenshotspandulapeter/campfire | Skill | 119 | yesterday | MPL-2.0 | A | 190 | Claude Code |
| webgl-holographic-foilnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 41 | Claude Code, Codex |
| html-ppt-hermes-cyber-terminalnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 53 | Claude Code, Codex |
| html-ppt-taste-brutalistnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 78 | Claude Code, Codex |
| visual-ralphYeachan-Heo/oh-my-codex | Skill | 34k | 3d ago | MIT | A | 52 | Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | yesterday | Apache-2.0 | A | 56 | Claude Code |
| accessibilitymicrosoft/hve-core | Skill | 1.6k | yesterday | MIT | A | 47 | Claude Code |