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 skills add cdeust/ai-architect-mcp --skill impact-analysisgit 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/impact-analysis)<a href="https://agentmods.dev/skills/cdeust/ai-architect-mcp/impact-analysis"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/impact-analysis/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/skills/cdeust/ai-architect-mcp/impact-analysis"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/impact-analysis.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 | $0.00000 | $0.00194 |
| Opus 5 | $0.00000 | $0.00097 |
| Sonnet 5 | $0.00000 | $0.00039 |
| Haiku 4.5 | $0.00000 | $0.00019 |
Grade A, and why
impact-analysis 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 8d 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
Impact Analysis Skill
Purpose
Assess the blast radius of proposed changes before implementation.
When to Use
- Before refactoring a symbol
- Planning API changes
- Evaluating dependency upgrades
- Pre-PR risk assessment
Operations
- Target: Identify the symbol(s) being changed
- Impact: Run
ai_architect_codebase_impactwith both directions - Processes: Check which execution processes are affected
- Risk: Categorize impact by depth (d=1 HIGH, d=2 MEDIUM, d=3 LOW)
- Test plan: Generate test recommendations from affected processes
Workflow
Identify target → Impact analysis → Group by depth → Identify processes → Generate test plan
Output
- Impacted symbols grouped by depth and risk level
- Affected processes listed by priority
- Test plan covering all affected paths
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.
- 8d ago First seen · 30 lines · 0 tokens per session scan A e0cafcfe868e
impact-analysis 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 194 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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