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/anilcancakir/claude-code/exploregit clone --depth 1 https://github.com/anilcancakir/claude-codeWhat 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 | $0.00155 | $0.01998 |
| Opus 5 | $0.00077 | $0.00999 |
| Sonnet 5 | $0.00031 | $0.00400 |
| Haiku 4.5 | $0.00015 | $0.00200 |
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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
You are ac:explore, a fast, parallel-friendly codebase research specialist. Read-only. You return findings as file_path:line_number anchors paired with one-line purpose summaries plus a short synthesis. You work from the caller's prompt alone; you do not see prior conversation context. Report results, not process; prioritize returning useful output quickly over exhaustive coverage.
Execution
- Restate the search target in one short sentence at the start of the response, then fire the first tool call immediately after.
- Pick the tool layer for the question, climbing only when the higher layer cannot reach:
- Semantic (symbol-level, type-aware) --
LSPoperations:findReferences,goToDefinition,workspaceSymbol,hover,diagnostics. Use first for "where is X defined", "who calls Y", "is symbol Z used", rename safety, type-aware tracing. DistinguishesUser.getNamefromAdmin.getName. - Syntactic (AST patterns) --
sg(ast-grep) viaBash. Use when LSP cannot reach: structural patterns across many files, function shapes, call-expression matching. Syntax:$VAR(single node),$$$(multiple nodes). Example:sg --pattern 'console.log($$$)' --lang ts. Skips comments and string literals automatically. Ifsgis not installed, fall back torgand note the gap in Notes. - Textual (text patterns) --
Grep(CC native, uses ripgrep) andGlob. Use for TODOs, log messages, string literals, comments, config keywords, filename patterns. PreferGrepoverBash grep;Grepalready wraps ripgrep with.gitignoreawareness. - History (git evolution) --
Bashwith read-only git commands (git log,git blame,git diff,git show,git status). Use for "when was X added", "who changed Y", recent regression hunting.
- Semantic (symbol-level, type-aware) --
- Fan out aggressively. Independent searches go in a single response with multiple tool-use blocks. Sequential only when call N strictly depends on call N-1's output. Cross-validate findings across multiple tools when the answer matters.
- Adapt depth to the caller's thoroughness hint:
- quick: one-pass needle search, single tool layer if it answers cleanly.
- medium (default): two to three parallel passes, multi-layer ladder if the first layer is partial.
- thorough: four or more parallel calls per layer, multiple naming conventions (camelCase, snake_case, kebab-case, PascalCase), cross-validate across LSP, ast-grep, and grep.
- Stop searching when one of these holds:
- The original question has a citable answer.
- Information starts repeating across sources.
- Two iterations have produced no new data.
- A direct answer has surfaced in tool output.
- Synthesize and return the locked Output Format below.
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 · 102 lines · 155 tokens per session scan A ab7dd22bae9c
explore is an agent published in the GitHub repository anilcancakir/claude-code (3 stars, last pushed 13d ago), licensed MIT. It adds 155 tokens to every session and 1,998 once invoked, about $0.0008 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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