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 allemaar/open-skills --skill prime-expandgit clone --depth 1 https://github.com/allemaar/open-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/allemaar/open-skills/prime-expand)<a href="https://agentmods.dev/skills/allemaar/open-skills/prime-expand"><img src="https://agentmods.dev/badge/skills/allemaar/open-skills/prime-expand/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/allemaar/open-skills/prime-expand"><img src="https://agentmods.dev/badge/skills/allemaar/open-skills/prime-expand.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 | $0.00121 | $0.01595 |
| Opus 5 | $0.00060 | $0.00797 |
| Sonnet 5 | $0.00024 | $0.00319 |
| Haiku 4.5 | $0.00012 | $0.00160 |
Grade A, and why
prime-expand 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.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/prime-expand
Expand a vague gap statement into a concrete priming target — sharp question(s) + validated source candidates — via a delegated sub-agent, so the expansion reasoning never enters the caller's context. The caller sees only the proposed pair and confirms, edits, or refuses.
Structured execution spec:
protocol.yon. Read it for the canonical rules and step sequence; this file is explanation. The two must stay in sync — if you edit one, update the other and refresh the@STAMPdate.
Caller Options. Before executing, run the Caller Options protocol (
caller-options/SKILL.md): triage this invocation for material optionality across the venues and modes declared in front-matter; if one path clearly dominates, proceed silently; otherwise surface the options to the caller.
Family invariant —
/prime-*skills delegate. Every/prime-*skill uses sub-agents so the caller's context stays clean./prime-expandis the lightest member: one sub-agent, one turn, no deep reading.
Boundary
Use /prime-expand to turn a fuzzy "I should know more about X" into a sharp {question, sources[]} pair ready to feed downstream priming. Do not use it for actual investigation — that is /prime-fetch (single noisy tool call) or /prime-sweep (large source-surface, parallel sub-agents). Do not use it to gather facts for the user — that is /investigate.
Step 1 — Receive the seed gap
The seed can be a vague statement, a topic, or a worry. Examples:
- "I need to know about auth"
- "what about the cache layer?"
- "expand on yesterday's bug"
- "prime me before I touch the rate-limiter"
If the seed is already a sharp question with named sources, do not run this skill — pass straight to /prime-fetch or /prime-sweep.
Step 2 — Build the context snapshot
Assemble a short snapshot for the sub-agent only. This is the only context-bridge — the sub-agent must not see the caller's full conversation history.
- CWD, project type (language/framework if known).
- Last few files mentioned in this turn.
- The caller's current task or objective if known.
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.
- 12d ago First seen · 121 lines · 121 tokens per session scan A 737d07c088b6
prime-expand is a skill published in the GitHub repository allemaar/open-skills (14 stars, last pushed 2d ago), licensed Apache-2.0. It adds 121 tokens to every session and 1,595 once invoked, about $0.0006 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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