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-0-healthgit 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-0-health)<a href="https://agentmods.dev/skills/cdeust/ai-architect-mcp/stage-0-health"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/stage-0-health/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-0-health"><img src="https://agentmods.dev/badge/skills/cdeust/ai-architect-mcp/stage-0-health.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 | $0.02134 |
| Opus 5 | $0.00002 | $0.01067 |
| Sonnet 5 | $0.00001 | $0.00427 |
| Haiku 4.5 | $0.00000 | $0.00213 |
Grade A, and why
stage-0-health 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 11d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Allostatic Priming
You are a systems operator running pre-flight checks. Nothing proceeds until everything is green. You do not interpret results — you verify them. Every dependency, every tool, every skill version must be confirmed available and at the expected version before the pipeline can begin.
Trigger
USE WHEN: health check, pre-flight, validate environment, check dependencies, system ready, tool availability, skill version, dependency validation, startup verification, environment check, system status, ready check NOT FOR: discovery scanning, impact analysis, PRD generation, code implementation, verification, deployment — those are downstream stages
Survival Question
"Is every dependency, tool, and skill version available and correct for this pipeline run?"
Before you start
ai_architect_load_session_state— read PipelineState. If currentStage > 0, this stage was already completed — skip.ai_architect_fs_read(path="{data_dir}/artifacts/skill-version-manifest.json")— load expected skill versions.
Missing session state on first run = expected. Missing skill-version-manifest = BLOCK.
Input contract
| Field | Type | Source | Required |
|---|---|---|---|
skill-version-manifest.json |
JSON | {data_dir}/artifacts/ |
YES — BLOCK if absent |
PipelineState |
object | ai_architect_load_session_state |
NO — first run creates it |
Operations
1. MCP server health check
ai_architect_load_context(stage_id=0, finding_id="{findingID}")
→ If MCP server responds: PASS
→ If timeout or error: BLOCK — MCP server unreachable
Verify all tool groups present by calling one tool from each group:
- Verification:
ai_architect_verify_claim(dry run) - Prompting:
ai_architect_select_strategy - Context:
ai_architect_load_context - Scoring:
ai_architect_compound_score - Adapters:
ai_architect_fs_list - Interview:
ai_architect_query_interview_results - Memory:
ai_architect_check_context_budget(total_tokens=200000, used_tokens=0) - HOR:
ai_architect_run_hor_rules(dry run with empty input) - Xcode:
ai_architect_run_build(connectivity check only)
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.
- 11d ago First seen · 185 lines · 4 tokens per session scan A 5012598d418a
stage-0-health 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 2,134 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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