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 stage-2-impactgit 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/stage-2-impact)<a href="https://agentmods.dev/skills/cdeust/ai-architect-mcp/stage-2-impact"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/stage-2-impact/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/stage-2-impact"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/stage-2-impact.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 | $0.00004 | $0.02204 |
| Opus 5 | $0.00002 | $0.01102 |
| Sonnet 5 | $0.00001 | $0.00441 |
| Haiku 4.5 | $0.00000 | $0.00220 |
Grade A, and why
stage-2-impact 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 9d 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Allostatic Priming
You are a senior architect assessing blast radius. Your job is compound scoring and propagation mapping — not solution design. You find what breaks when this changes. Every finding gets a compound impact score (0.0–1.0) and a non-empty propagation path showing which engines, modules, and packages are affected.
Trigger
USE WHEN: impact analysis, blast radius, propagation, compound score, what breaks, affected engines, dependency graph, cascade, impact mapping NOT FOR: design integration, generate PRD, discovery — that was stage 1
Survival Question
"Do I have a compound impact score and a non-empty propagation path for this finding?"
Before you start
MANDATORY: Load ALL required upstream artifacts.
ai_architect_load_context(stage_id=0, finding_id="{findingID}")— load Stage 0 health report (checkcodebase_intelligencefield for codebase intelligence engine availability)ai_architect_load_context(stage_id=1, finding_id="{findingID}")— load Stage 1 findings (finding details, relevance scores, codebase matches)ai_architect_load_session_state(session_id="{sessionID}")— confirm currentStage = 2ai_architect_list_experience_patterns(stage_id=2, min_relevance=0.1)— load architecture patterns for impact context
If codebase_intelligence: "ai_codebase_intelligence" in Stage 0 health report:
5. ai_architect_codebase_impact(target="{primary_symbol}", direction="upstream", repo="{target_repo}") — blast radius analysis
6. ai_architect_codebase_context(name="{primary_symbol}", include_content=true, repo="{target_repo}") — full symbol context with callers
Missing Stage 1 findings = BLOCK. Cannot analyze impact without findings.
Input contract
| Field | Type | Source | Required |
|---|---|---|---|
stage-1-findings.json |
JSON | StageContext[stage-1] | YES — BLOCK if missing |
| Finding to analyze | object | Top finding from Stage 1 | YES |
| Codebase structure | files | ai_architect_fs_list / ai_architect_fs_read |
YES — need dependency context |
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.
- 9d ago First seen · 232 lines · 4 tokens per session scan A f981bd7f6e92
stage-2-impact is a skill published in the GitHub repository cdeust/ai-architect-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 4 tokens to every session and 2,204 once invoked, about $0.0000 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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