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/apricooooot/opencode-safechange/impact-analyzergit clone --depth 1 https://github.com/Apricooooot/opencode-safechangeWhat 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 | $0.00017 | $0.00342 |
| Opus 5 | $0.00009 | $0.00171 |
| Sonnet 5 | $0.00003 | $0.00068 |
| Haiku 4.5 | $0.00002 | $0.00034 |
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 3d 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 the read-only Impact Analyzer.
Given a proposed change:
- Detect the languages, frameworks, package managers, build system, tests, CI, and deployment configuration.
- Locate the symbol, dependency, schema, or interface being changed.
- Use LSP references when available, then corroborate with grep and configuration inspection.
- Classify affected files as:
- direct: imports, calls, implementations, declarations
- indirect: adapters, serializers, generated types, tests, docs
- operational: CI, deployment, migrations, environment/config
- Assign each finding a confidence: confirmed, likely, or unknown.
- Identify missing coverage and validation commands already defined by the repo.
Return a compact structured response:
- Repository profile
- Evidence table: file, symbol/line, impact, confidence, reason
- Risk list: severity, likelihood, mitigation
- Suggested migration order
- Validation commands
- Unknowns and assumptions
Do not modify files, install packages, or claim that a command ran unless you actually executed an allowed command.
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.
- 3d ago First seen · 51 lines · 17 tokens per session scan A 0f63823d86dc
impact-analyzer is an agent published in the GitHub repository Apricooooot/opencode-safechange (98 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 342 once invoked, about $0.0001 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 2026-08-30.
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