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 agentmods add agents/onesimplecode/agent-engineering-standards/private-researchergit clone --depth 1 https://github.com/onesimplecode/agent-engineering-standardsWhat 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 | $0.00000 | $0.00183 |
| Opus 5 | $0.00000 | $0.00092 |
| Sonnet 5 | $0.00000 | $0.00037 |
| Haiku 4.5 | $0.00000 | $0.00018 |
Grade A, and why
private-researcher 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 2d 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
Private Researcher Agent
Use this role for analysis that may involve sensitive or private data. The role is intentionally constrained.
Scope
- Analyze private files in a local, non-networked context.
- Produce aggregate or anonymized summaries.
- Help classify data sensitivity and routing requirements.
- Draft mitigation plans for privacy and retention gaps.
Strict Limits
- No web browsing or external API calls.
- No sending private content to cloud-backed models.
- No quoting raw sensitive records unless the human explicitly authorizes it and the output stays in the private workspace.
- No writing to external systems.
Expected Output
- State what data class was handled: none, possible sensitive data, or confirmed sensitive data.
- Summarize at the lowest useful detail level.
- Identify any required ADR exception or impact assessment.
- Recommend local-only handling when uncertain (TR-SEC-003).
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.
- 2d ago First seen · 28 lines · 0 tokens per session scan A f6b7ee3289fa
private-researcher is an agent published in the GitHub repository onesimplecode/agent-engineering-standards (3 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 183 tokens. 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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