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 juice094/devbase --skill skillopt-sleep-kimigit clone --depth 1 https://github.com/juice094/devbaseWrote 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/juice094/devbase/skillopt-sleep-kimi)<a href="https://agentmods.dev/skills/juice094/devbase/skillopt-sleep-kimi"><img src="https://agentmods.dev/badge/skills/juice094/devbase/skillopt-sleep-kimi/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/juice094/devbase/skillopt-sleep-kimi"><img src="https://agentmods.dev/badge/skills/juice094/devbase/skillopt-sleep-kimi.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 | $0.00094 | $0.01077 |
| Opus 5.5 | $0.00038 | $0.00431 |
| Sonnet 5.5 | $0.00019 | $0.00215 |
| Haiku 4.5 | $0.00009 | $0.00108 |
Grade A, and why
skillopt-sleep-kimi 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 1mo 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 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.
- 1mo ago First seen · 110 lines · 94 tokens per session scan A dfada8c795b2
skillopt-sleep-kimi is a skill published in the GitHub repository juice094/devbase (0 stars, last pushed 3mo ago), licensed AGPL-3.0. It adds 94 tokens to every session and 1,077 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
kb
Set up, evolve, or operate a hraness/kb local-first Markdown knowledge base for coding-agent memory. Use when a user asks to design KB conventions or a recurring KB ritual; search or query a KB or Obsidian vault; load or recover repository context, plans, decisions, concepts, backlinks, semantic search, or Git…
agent-recall-trail
Recall and maintain one Agent's private, sourced experience together with human-reviewed shared ART Knowledge Editions. Use when prior decisions, procedures, project facts, user preferences, earlier failures, or reusable conclusions may affect the current task, and when the user asks to remember, retrieve, correct, or…
agent-fact-system
Route Markdown documents, evidence-backed project facts, conversation history, personal memory, and reusable procedures without double-writing. Use when an Agent must search or write AFS documents, propose or retrieve governed facts, inspect evidence and Timeline, or choose the correct durable store.
openlore
Query and publish to an OpenLore knowledge repository over SSH using ordinary shell commands. Use when a task needs project documentation, runbooks, shared team knowledge, or a place to publish findings.
plur-create-engrams
Create or improve PLUR engrams from conversations, documents, decisions, observations, and explicit preferences. Use for memory extraction, engram authoring, or reviewing proposed memories, including global, scoped, pinned, retrieved, and provisional knowledge. Ordinary use of existing memories does not require this…
plur-memory
Persistent learning for AI agents. Open engram format. Your agent learns from corrections, remembers across sessions, and transfers knowledge across domains.