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 LearnPrompt/cc-harness-skills --skill kairos-litegit clone --depth 1 https://github.com/LearnPrompt/cc-harness-skillsWrote 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/learnprompt/cc-harness-skills/kairos-lite)<a href="https://agentmods.dev/skills/learnprompt/cc-harness-skills/kairos-lite"><img src="https://agentmods.dev/badge/skills/learnprompt/cc-harness-skills/kairos-lite/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/learnprompt/cc-harness-skills/kairos-lite"><img src="https://agentmods.dev/badge/skills/learnprompt/cc-harness-skills/kairos-lite.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.00298 |
| Opus 5 | $0.00018 | $0.00149 |
| Sonnet 5 | $0.00007 | $0.00060 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
kairos-lite 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 12d 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.
What it actually says
Kairos Lite
Use this skill when you want proactive behavior, but not a full always-on autonomous platform.
Use It For
- scheduled repo patrols
- unattended follow-up checks
- short user-facing briefs after background work
- proactive jobs with expiry
Avoid It For
- unrestricted permanent daemons
- hidden background mutation without explicit user opt-in
- complex host-specific notification plumbing as an MVP
Quick Start
Create a portable proactive job spec:
python3 {baseDir}/scripts/job_spec.py \
--name "daily-repo-check" \
--prompt "Summarize risky changes in the repo" \
--schedule "0 9 * * 1-5"
Then use the prompt in references/prompt-template.md.
Minimum Building Blocks
- sleep or wait
- a schedule or automation trigger
- a brief output channel
- expiry or renewal
Supporting Files
- Prompt template: references/prompt-template.md
- Source notes: references/source-notes.md
- Helper script:
python3 {baseDir}/scripts/job_spec.py ...
What ships with it
4 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.
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.
- 12d ago First seen · 48 lines · 37 tokens per session scan A fe95b31fc506
kairos-lite is a skill published in the GitHub repository LearnPrompt/cc-harness-skills (233 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 298 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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