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-sweepgit 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-sweep)<a href="https://agentmods.dev/skills/allemaar/open-skills/prime-sweep"><img src="https://agentmods.dev/badge/skills/allemaar/open-skills/prime-sweep/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-sweep"><img src="https://agentmods.dev/badge/skills/allemaar/open-skills/prime-sweep.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 | $0.00127 | $0.02846 |
| Opus 5 | $0.00063 | $0.01423 |
| Sonnet 5 | $0.00025 | $0.00569 |
| Haiku 4.5 | $0.00013 | $0.00285 |
Grade A, and why
prime-sweep 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/prime-sweep
Prime the calling agent with high-signal context from large source surfaces by dispatching parallel delegated sub-agents. The calling agent never reads the sources — sub-agents absorb the noise, return only digested findings + source:line pointers. Full proof-of-work verification on every finding.
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). Modes here are the input categories —single-source/multi-source/discovery/mixed— which shape how sub-agents are sliced.
Family invariant —
/prime-*skills delegate. Every/prime-*skill uses sub-agents to keep the caller's context clean./prime-fetchand/prime-sweepadditionally require proof-of-work on every finding (source:line + verbatim quote ≥8 words OR averbatim-token)./prime-expandis exempt — it produces intent, not findings. See/prime-fetchfor theverbatim-tokendefinition.
Boundary
Use /prime-sweep when the source surface is too large to read directly (threshold: ≥3 distinct sources OR ≥~10k tokens) and you need primed context from it. Do NOT use it for a single noisy tool call (use /prime-fetch), a vague gap that needs articulating first (use /prime-expand), or work execution (use /orchestrate-mode or /multi-agent-mode). Do NOT use it for post-hoc review (use /cold-review).
Step 1 — Trigger routing + gate
Identify the trigger:
- Explicit — user invoked
/prime-sweepdirectly. - Handoff-chained — auto-fired on handoff receipt with listed sources.
- Expand-chained — chained from
/prime-expandconfirmed pair.
If the trigger is a handoff with no listed source, refuse and recommend /prime-expand first — do not invent sources. If the gate refuses, the protocol terminates immediately; the caller proceeds without priming.
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 · 180 lines · 127 tokens per session scan A 660f30995c15
prime-sweep is a skill published in the GitHub repository allemaar/open-skills (14 stars, last pushed yesterday), licensed Apache-2.0. It adds 127 tokens to every session and 2,846 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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