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-fetchgit 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-fetch)<a href="https://agentmods.dev/skills/allemaar/open-skills/prime-fetch"><img src="https://agentmods.dev/badge/skills/allemaar/open-skills/prime-fetch/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-fetch"><img src="https://agentmods.dev/badge/skills/allemaar/open-skills/prime-fetch.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 | $0.00102 | $0.01913 |
| Opus 5 | $0.00051 | $0.00957 |
| Sonnet 5 | $0.00020 | $0.00383 |
| Haiku 4.5 | $0.00010 | $0.00191 |
Grade A, and why
prime-fetch 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/prime-fetch
Wrap a noisy data-fetching tool call in a delegated sub-agent so the raw dump lands in the sub-agent's context, not yours. The lead receives only the filtered, proof-of-work-verified digest.
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).
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 (a question + candidate sources), not factual findings.
What's a
verbatim-token? A discrete identifier where ≥8 prose words isn't applicable. Examples: version strings (v1.2.3), commit hashes (abc123def), function/class names (MyClass.handleRequest), numeric values (port 8080), enum values (STATUS_PENDING). Must be quoted exactly; the lead still grep-verifies findability.
Boundary
Use /prime-fetch for one read-only data-fetching tool call (Grep, Glob, Read, WebFetch, or an MCP search) regardless of expected result size — the family invariant is about keeping noise out of your context, not about whether the result happens to be small. Do NOT use it for write-side calls (Edit, Write, Bash with side effects), multi-source investigation (use /prime-sweep — threshold ≥3 distinct sources OR ≥~10k tokens), or vague gaps that need articulating first (use /prime-expand). Do NOT use it to gather facts for the user — that is /investigate.
Step 1 — Receive the tool call spec + objective
Inputs:
- Tool call spec — the call you would run, with all parameters. Examples:
Grep(pattern='session', type='ts'),WebFetch(url='https://...'),mcp__claude_ai_Google_Drive__search_files(query='...'). - Objective — what you are looking for in the result (typically from
/prime-expand).
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 · 125 lines · 102 tokens per session scan A ebcb05c11436
prime-fetch is a skill published in the GitHub repository allemaar/open-skills (14 stars, last pushed yesterday), licensed Apache-2.0. It adds 102 tokens to every session and 1,913 once invoked, about $0.0005 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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