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 Emasoft/ai-maestro-architect-agent --skill amaa-api-research-opsgit clone --depth 1 https://github.com/Emasoft/ai-maestro-architect-agentWrote 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/emasoft/ai-maestro-architect-agent/amaa-api-research-ops)<a href="https://agentmods.dev/skills/emasoft/ai-maestro-architect-agent/amaa-api-research-ops"><img src="https://agentmods.dev/badge/skills/emasoft/ai-maestro-architect-agent/amaa-api-research-ops/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/emasoft/ai-maestro-architect-agent/amaa-api-research-ops"><img src="https://agentmods.dev/badge/skills/emasoft/ai-maestro-architect-agent/amaa-api-research-ops.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 | $0.00034 | $0.00516 |
| Opus 5 | $0.00017 | $0.00258 |
| Sonnet 5 | $0.00007 | $0.00103 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
amaa-api-research-ops 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 10d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
API Researcher Skill (Operations)
Overview
Scenarios for researching REST, GraphQL, Python, and cloud APIs. Includes collaboration patterns with orchestrator and other agents, plus quick reference for workflows and communication formats.
Prerequisites
- Completion of core API research skill setup
Instructions
- Select the appropriate research scenario for the API type
- Follow the step-by-step approach for that scenario
- Use collaboration patterns for orchestrator communication
- Consult quick reference for output files and formats
Checklist
Copy this checklist and track your progress:
- Identify API type (REST, GraphQL, Python library, cloud service)
- Follow scenario-specific research steps
- Use correct communication format for status updates
- Complete handoff protocol when research is done
Reference Documents
| Document | Content |
|---|---|
| research-scenarios.md | Scenario 1: Research REST API, Scenario 2: Research Python Library, Scenario 3: Research Cloud Service API, Scenario 4: Research GraphQL API, Types, Queries, Mutations |
| collaboration-patterns.md | Integration with Orchestrator, Handling Blockers, Handoff Protocol, Collaboration with Other Agents, Best Practices |
| quick-reference.md | Research Output Files, Research Workflow, Communication Formats, Extended Examples |
Examples
Example: Research REST API - WebSearch for docs, WebFetch API reference, document endpoints, identify auth method, check rate limits, create integration guide
Error Handling
| Issue | Fix |
|---|---|
| Scenario mismatch | Re-evaluate API type and switch scenario |
| Orchestrator unresponsive | Report in [BLOCKED] format, then continue other in-scope research — never idle waiting (D1 never-block) |
Output
| Type | Description |
|---|---|
| Scenario-guided research | Structured research following API-type-specific steps |
| Status reports | Formatted communication using standard patterns |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 65 lines · 34 tokens per session scan A 5b40e9837632
amaa-api-research-ops is a skill published in the GitHub repository Emasoft/ai-maestro-architect-agent (2 stars, last pushed 11d ago), licensed MIT. It adds 34 tokens to every session and 516 once invoked, about $0.0002 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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