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 dinglebear-ai/dendrite --skill jetpack-compose-expertgit clone --depth 1 https://github.com/dinglebear-ai/dendriteWrote 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/dinglebear-ai/dendrite/jetpack-compose-expert)<a href="https://agentmods.dev/skills/dinglebear-ai/dendrite/jetpack-compose-expert"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/jetpack-compose-expert/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/dinglebear-ai/dendrite/jetpack-compose-expert"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/jetpack-compose-expert.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 | $0.00187 | $0.04400 |
| Opus 5.5 | $0.00075 | $0.01760 |
| Sonnet 5.5 | $0.00037 | $0.00880 |
| Haiku 4.5 | $0.00019 | $0.00440 |
Grade A, and why
jetpack-compose-expert 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 2mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
35 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.
- agents/openai.yaml 251 B
- CHANGELOG.md 236 B
- README.md 1.2 KB
- references/accessibility.md 11 KB
- references/animation.md 41 KB
- references/atomic-design.md 11 KB
- references/auto-init.md 1.6 KB
- references/composition-locals.md 6.8 KB
- references/deprecated-patterns.md 8.3 KB
- references/design-to-compose.md 24 KB
- references/lists-scrolling.md 14 KB
- references/material3-motion.md 12 KB
- references/modifiers.md 12 KB
- references/multiplatform.md 21 KB
- references/navigation-migration.md 7.9 KB
- references/navigation.md 10 KB
- references/paging-mvi-testing.md 6.4 KB
- references/paging-offline.md 6.4 KB
- references/paging.md 11 KB
- references/performance.md 15 KB
- references/platform-specifics.md 18 KB
- references/pr-review.md 13 KB
- references/production-crash-playbook.md 26 KB
- references/side-effects.md 13 KB
- references/source-code/cmp-source.md 18 KB
- references/source-code/foundation-source.md 561 KB
- references/source-code/material3-source.md 836 KB
- references/source-code/navigation-source.md 119 KB
- references/source-code/runtime-source.md 449 KB
- references/source-code/ui-source.md 313 KB
- references/state-management.md 16 KB
- references/styles-experimental.md 14 KB
- references/theming-material3.md 7.9 KB
- references/tv-compose.md 30 KB
- references/view-composition.md 20 KB
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.
- 2mo ago First seen · 296 lines · 187 tokens per session scan A 182439438ea5
jetpack-compose-expert is a skill published in the GitHub repository dinglebear-ai/dendrite (1 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 187 tokens to every session and 4,400 once invoked, about $0.0007 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 2026-09-03.
jetpack-compose-expert compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| jetpack-compose-expertdinglebear-ai/dendrite | Skill | 1 | 1mo ago | AGPL-3.0 | A | 187 | Claude Code, Codex |
| vercel-react-native-skillsfcakyon/claude-codex-settings | Skill | 1.2k | yesterday | Apache-2.0 | A | 57 | Claude Code |
| sim-usecafe3310/public-agent-skills | Skill | 256 | yesterday | Apache-2.0 | A | 48 | Claude Code, Codex |
| lov-mobile-adaptlovstudio/skills | Skill | 72 | 3d ago | MIT | A | 63 | Claude Code |
| lov-app-releaselovstudio/skills | Skill | 72 | 3d ago | MIT | A | 64 | Claude Code |
| android-ui-engineeringGuillemRoca/agent-skills-android | Skill | 5 | 1mo ago | MIT | A | 52 | Claude Code |
| security-and-hardeningGuillemRoca/agent-skills-android | Skill | 5 | 1mo ago | MIT | A | 62 | Claude Code |