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 skills/cdeust/ai-architect-mcp/exploringnpx skills add cdeust/ai-architect-mcp --skill exploringgit clone --depth 1 https://github.com/cdeust/ai-architect-mcpWrote 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/cdeust/ai-architect-mcp/exploring)<a href="https://agentmods.dev/skills/cdeust/ai-architect-mcp/exploring"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/exploring.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 | $0.00000 | $0.00174 |
| Opus 5 | $0.00000 | $0.00087 |
| Sonnet 5 | $0.00000 | $0.00035 |
| Haiku 4.5 | $0.00000 | $0.00017 |
Grade A, and why
exploring 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 4d 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
Exploring Skill
Purpose
Navigate and understand unfamiliar codebases systematically using graph-powered intelligence.
When to Use
- First encounter with a new repository
- Understanding module boundaries and architecture
- Finding entry points and key abstractions
Operations
- Index: Run
ai_architect_codebase_analyzeto build the knowledge graph - Map: Query for high-level structure — communities, processes, entry points
- Navigate: Use
ai_architect_codebase_contextfor 360° views of key symbols - Trace: Follow execution flows via process membership
Workflow
Index repo → List communities → Pick community → Explore members → Trace processes
Output
- Module map with cohesion scores
- Key processes with entry points
- Dependency summary between communities
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.
- 4d ago First seen · 28 lines · 0 tokens per session scan A 1e2a3ff14d08
exploring is a skill published in the GitHub repository cdeust/ai-architect-mcp (1 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 174 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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Agent skill for release-swarm - invoke with $agent-release-swarm.
agent-pagerank-analyzer
Agent skill for pagerank-analyzer - invoke with $agent-pagerank-analyzer.
agent-code-analyzer
Agent skill for code-analyzer - invoke with $agent-code-analyzer.