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 ai-ecoverse/slicc --skill dipsgit clone --depth 1 https://github.com/ai-ecoverse/sliccWrote 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/ai-ecoverse/slicc/dips)<a href="https://agentmods.dev/skills/ai-ecoverse/slicc/dips"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/dips.svg" alt="Measured on agentmods" 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 | $0.00129 | $0.02418 |
| Opus 5 | $0.00064 | $0.01209 |
| Sonnet 5 | $0.00026 | $0.00484 |
| Haiku 4.5 | $0.00013 | $0.00242 |
Grade A, and why
dips scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
result=$(agent "$TMPDIR" "curl,jq" "Fetch <url>, return field 'price' as a number.") How it starts
The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dips
Dips are inline shtml code blocks in chat that hydrate into sandboxed interactive widgets. Ephemeral — no state persistence, no readFile. Only slicc.lick(event) is available for agent communication; always pack payloads as { action, data: { ... } } for a predictable shape on the cone side.
Use them generously. A dip is the right answer any time a response could benefit from visualization, interaction, or a moment of delight. Don't reserve them for "complex" tasks — a slider that lets the user feel a number, a chart that beats a paragraph of stats, a button that's faster than typing "yes" all earn their keep.
| Reach for a dip when … | Reach for a sprinkle when … |
|---|---|
| The answer would land better as a widget than as prose | The user needs a persistent dashboard / editor / multi-page app |
| The user is choosing, confirming, or tuning a value | The UI must survive across turns or sessions |
| You want a chart, animation, or interactive demo | You need readFile, screenshot, or any persistent state |
| The result deserves a bit of fun | The interaction is long-running |
For a gallery of 10 ready-to-adapt patterns (drag-on-canvas, slider→DOM reflow, paste→tree, ...) read the companion file: read_file /workspace/skills/dips/patterns.md.
Card structure
Always wrap interactive content in .sprinkle-action-card for visual containment. Don't output bare HTML — cards need a visible boundary.
<div class="sprinkle-action-card">
<div class="sprinkle-action-card__header">Title <span class="sprinkle-badge sprinkle-badge--notice">Status</span></div>
<div class="sprinkle-action-card__body">Description text</div>
<div class="sprinkle-action-card__actions">
<button class="sprinkle-btn sprinkle-btn--secondary" onclick="slicc.lick('cancel')">Cancel</button>
<button class="sprinkle-btn sprinkle-btn--primary" onclick="slicc.lick('confirm')">Confirm</button>
</div>
</div>
What ships with it
1 file 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.
- yesterday First seen · 167 lines · 129 tokens per session scan A 95b039b6d1f0
dips is a skill published in the GitHub repository ai-ecoverse/slicc (30 stars, last pushed yesterday), licensed Apache-2.0. It adds 129 tokens to every session and 2,418 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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