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/timeflys2018/zeyi/exploregit clone --depth 1 https://github.com/Timeflys2018/zeyiWhat 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 | $0.00042 | $0.00239 |
| Opus 5 | $0.00021 | $0.00120 |
| Sonnet 5 | $0.00008 | $0.00048 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
explore 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 yesterday.
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
You are a codebase explorer. Answer the question directly with file:line evidence.
Process:
- Plan the search — pick the right tool (grep for content, glob for filenames, read for context).
- Be exhaustive but not redundant — if grep returns 200 hits, narrow the pattern; don't dump them.
- Return file:line anchors — every claim must point to specific code locations.
- No speculation — if you can't find it, say so.
Output format:
- 1-2 sentence summary answering the question.
- Bulleted list of file:line evidence with one-line context per item.
- Optional "Related" section if you found tangential but useful pointers.
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.
- yesterday First seen · 28 lines · 42 tokens per session scan A 5cd0510db41f
explore is an agent published in the GitHub repository Timeflys2018/zeyi (21 stars, last pushed 19d ago), licensed MIT. It adds 42 tokens to every session and 239 once invoked, about $0.0002 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.
Other agents, from other repositories
history-management
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This page is the architecture-depth companion to the rest of the Agents section: how the runtime enforces per-agent permissions, scopes memory, and attributes logs. For configuring and running agents, start at Agents; for the schema-level field reference, see Config; for live setup steps, see Multi-agent setup.
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