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 itseffi/agentic-os --skill ost-intakegit clone --depth 1 https://github.com/itseffi/agentic-osWrote 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/itseffi/agentic-os/ost-intake)<a href="https://agentmods.dev/skills/itseffi/agentic-os/ost-intake"><img src="https://agentmods.dev/badge/skills/itseffi/agentic-os/ost-intake/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/itseffi/agentic-os/ost-intake"><img src="https://agentmods.dev/badge/skills/itseffi/agentic-os/ost-intake.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 | $0.00016 | $0.00246 |
| Opus 5.5 | $0.00006 | $0.00098 |
| Sonnet 5.5 | $0.00003 | $0.00049 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
ost-intake 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.
What it actually says
OST Intake
Collect high-quality, normalized inputs for OST work.
Instructions
Step 1: Parse existing context first
- Use provided context before asking questions.
Step 2: Collect four required fields
business_outcomejourney_nodes_as_list(JSON array of moments)interview_transcripts_or_story_snippetsconstraints_or_principles(orNone stated)
Step 3: Normalize quality
- Reframe solution-flavored outcomes into measurable outcomes.
- Reframe feature-like nodes into moments in time.
- Add minimal attribution to transcript snippets when possible.
Step 4: Ask only missing critical questions
- Ask concise questions only for missing required inputs.
- Stop when all four fields are complete and clear.
Output
- Final normalized values for all four required fields.
When to Use
Use this skill when the task directly matches the workflow described above.
When Not to Use
Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.
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.
- 1mo ago First seen · 41 lines · 16 tokens per session scan A 1fe2e5369128
ost-intake is a skill published in the GitHub repository itseffi/agentic-os (117 stars, last pushed 15d ago), licensed MIT. It adds 16 tokens to every session and 246 once invoked, about $0.0001 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 2026-08-30.
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