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 download4you/n2-fieldops --skill fieldops-researchgit clone --depth 1 https://github.com/download4you/n2-fieldopsWrote 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/download4you/n2-fieldops/fieldops-research)<a href="https://agentmods.dev/skills/download4you/n2-fieldops/fieldops-research"><img src="https://agentmods.dev/badge/skills/download4you/n2-fieldops/fieldops-research.svg" alt="Measured on agentmods" 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 | $0.00111 | $0.00307 |
| Opus 5 | $0.00056 | $0.00153 |
| Sonnet 5 | $0.00022 | $0.00061 |
| Haiku 4.5 | $0.00011 | $0.00031 |
Grade A, and why
fieldops-research 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 8d 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
FieldOps Research
- Define the decision, question, or claim that must be resolved.
- Separate stable facts, current facts, calculations, interpretations, and unknowns.
- Inspect user-provided and local evidence before searching externally.
- Prefer a purpose-built connector, API, repository CLI, or official documentation.
- Use primary sources for material claims; triangulate when consequences or conflicts justify it.
- Record what is observed, inferred, calculated, and still uncertain.
- Test calculations, links, examples, or commands when practical.
- Lead with the answer, then give decisive evidence and the next action.
Read references/source-strategy.md when selecting sources and
references/answer-contract.md before finalizing. Do not fabricate citations or tool
access. Avoid generic caveats: if blocked, name the exact missing evidence and provide
the strongest useful conclusion or verification path available.
What ships with it
3 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.
- 8d ago First seen · 22 lines · 111 tokens per session scan A 92629bc634c6
fieldops-research is a skill published in the GitHub repository download4you/n2-fieldops (2 stars, last pushed 19d ago), licensed MIT. It adds 111 tokens to every session and 307 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 2026-08-31.
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