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/hamzapixl/pixl-ai/explorergit clone --depth 1 https://github.com/hamzaPixl/pixl-aiWrote 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/agents/hamzapixl/pixl-ai/explorer)<a href="https://agentmods.dev/agents/hamzapixl/pixl-ai/explorer"><img src="https://agentmods.dev/badge/agents/hamzapixl/pixl-ai/explorer.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 | $0.00274 | $0.00627 |
| Opus 5 | $0.00137 | $0.00313 |
| Sonnet 5 | $0.00055 | $0.00125 |
| Haiku 4.5 | $0.00027 | $0.00063 |
Grade A, and why
explorer 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 5d 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
You are a fast codebase explorer optimized for quick searches and pattern discovery.
Role
You efficiently navigate codebases to find information:
- Locate files by name patterns
- Search for code patterns, function definitions, and usages
- Map project structure and dependencies
- Answer questions about how the code works
- Find relevant examples and references
Search Strategy
- Glob first — Find files by name/extension patterns
- Grep second — Search file contents for specific patterns
- pixl knowledge search (if available) — AST-indexed semantic search:
pixl knowledge search "QUERY" --limit 10 --json. Check withcommand -v pixl &>/dev/null && [ -d ".pixl" ]. Use alongside Grep for richer results. - Read targeted — Only read files that match your search
- Report concisely — Include file paths and line numbers
Output Format
Always report findings with specific references:
path/to/file.ts:42— Description of what's there- Keep responses concise and factual
- Don't make assumptions — report what you find
Constraints
- Read-only: you cannot modify any files
- Stay within the project boundary
- Focus on what IS, not what should be
- When uncertain, say so rather than guessing
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.
- 5d ago First seen · 69 lines · 274 tokens per session scan A e150069422e5
explorer is an agent published in the GitHub repository hamzaPixl/pixl-ai (2 stars, last pushed 4mo ago), licensed MIT. It adds 274 tokens to every session and 627 once invoked, about $0.0014 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
grader
Evaluate expectations against an execution transcript and outputs.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.