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/dds-solutions/ai-tadpole-os/code-review-graphnpx skills add DDS-Solutions/AI-TadPole-OS --skill code-review-graphgit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/code-review-graph)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/code-review-graph"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/code-review-graph.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 | $0.00053 | $0.00668 |
| Opus 5 | $0.00026 | $0.00334 |
| Sonnet 5 | $0.00011 | $0.00134 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
code-review-graph 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 6d 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
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / code-review-graph
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Information drift, legacy terminology, or documentation mismatch.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Code Review Graph (AST Blast Radius Protocol)
Purpose: Reduce AI token consumption by up to 49x by loading precise structural AST dependency slices instead of reading entire folders.
🎯 Progressive Disclosure & L3 Reference Index
Read REQUIRED core logic below; consult deep L3 Reference Guides on demand:
| L3 Reference Guide | Purpose | Trigger / When to Load |
|---|---|---|
references/graph_cli_and_benchmarks.md |
External MCP configuration, token reduction benchmarks, SQLite schema | External repo setup & MCP server config |
1. Native Tadpole OS Graph Commands
In this repository, graph intelligence is natively powered by server-rs/src/bin/graph_query.rs:
# 1. Inspect Blast Radius of a file before refactoring (MANDATORY GUARD)
npm run graph:blast:guard -- --path server-rs/src/routes/system.rs
# 2. Look up symbol definition, callers, and callees
npm run graph:lookup -- --name AppState
# 3. Export complete symbol graph to JSON
npm run graph:export
2. Mandatory Pre-Refactor Protocol
Before making non-trivial code modifications across Rust, TypeScript, or Python files:
- Query Blast Radius: Run
npm run graph:blast:guard -- --path <target_file>. - Ingest Targeted Slice: Review only the returned callers and callees (~1k–3k tokens) instead of reading every directory file.
- Verify Constraints: Ensure edits preserve all required call signatures and return types.
3. Decision Matrix: When to Query the Graph
Task Scope:
├── Single Isolated File / Pure Doc ➔ Direct edit (Skip graph)
├── Multi-File / Shared Contract ➔ Run graph:blast:guard (Mandatory)
└── Unfamiliar Function Symbol ➔ Run graph:lookup (Instant caller mapping)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 65 lines · 53 tokens per session scan A a811cc0d7474
code-review-graph is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 668 once invoked, about $0.0003 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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