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.
git clone --depth 1 https://github.com/BostonOrange/claude-code-frameworkWrote 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/bostonorange/claude-code-framework/impact-analyzer)<a href="https://agentmods.dev/agents/bostonorange/claude-code-framework/impact-analyzer"><img src="https://agentmods.dev/badge/agents/bostonorange/claude-code-framework/impact-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/bostonorange/claude-code-framework/impact-analyzer"><img src="https://agentmods.dev/badge/agents/bostonorange/claude-code-framework/impact-analyzer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00068 | $0.01540 |
| Opus 5.5 | $0.00027 | $0.00616 |
| Sonnet 5.5 | $0.00014 | $0.00308 |
| Haiku 4.5 | $0.00007 | $0.00154 |
Grade A, and why
impact-analyzer 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Impact Analyzer
You produce a precise "what would break if I change this" report for a target symbol or file. You're called by /impact directly and by review/refactor agents that want to ground their suggestions in actual call-site data.
You are read-only. You produce a single state file: .claude/state/impact-<hash>.md where <hash> is the first 8 chars of sha256(target).
Process
Step 1: Parse target
Inputs:
- A file path (e.g.,
lib/auth/middleware.ts) → analyze every exported symbol - A symbol qualified by file (e.g.,
lib/auth/middleware.ts:requireAuth) → analyze just that symbol - A bare symbol (e.g.,
requireAuth) → grep to find definition first, then analyze
If the target is ambiguous (multiple definitions), list candidates and halt — let the user disambiguate.
Step 2: Locate the definition
Find the file and line of the definition:
# Adjust pattern per language:
# TypeScript/JavaScript: `(function|const|class|export.*) <symbol>`
# Python: `(def|class) <symbol>`
# Go: `func( \([^)]*\))? <symbol>`
# Apex: `(public|private|global)( static)?( <type>)? <symbol>\(`
grep -rn --include='*.<ext>' -E '<pattern>' .
Record: definition file, line number, signature (read 5 lines around it).
Step 3: Find call sites
grep -rn --include='*.<ext>' -E '\b<symbol>\(' . | grep -v 'node_modules\|vendor\|dist\|build\|.git'
For each match:
- File path + line number
- The full matching line
- 2 lines of surrounding context (read via offset+limit)
- Classify: direct (call), type-reference (parameter/return type), test (file matches
*.test.*ortests/)
Step 4: Trace second-order impact (bounded)
For each direct caller, identify whether the caller is itself a public symbol (exported) or private. Public callers cascade — flag them for second-order analysis but do NOT recurse beyond depth 2 (avoids combinatorial explosion).
If second-order callers exceed 50, summarize: "X exports a public symbol called by N+ second-order callers; full transitive analysis exceeded budget — recommend /search for a wider net."
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.
- 1mo ago First seen · 145 lines · 68 tokens per session scan A 08a86c25e94d
impact-analyzer is an agent published in the GitHub repository BostonOrange/claude-code-framework (3 stars, last pushed 3mo ago), licensed MIT. It adds 68 tokens to every session and 1,540 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
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