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 nota-america/forgecat-agent-profiles --skill architecturegit clone --depth 1 https://github.com/nota-america/forgecat-agent-profilesWrote 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/nota-america/forgecat-agent-profiles/architecture)<a href="https://agentmods.dev/skills/nota-america/forgecat-agent-profiles/architecture"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/architecture/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/nota-america/forgecat-agent-profiles/architecture"><img src="https://agentmods.dev/badge/skills/nota-america/forgecat-agent-profiles/architecture.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 | $0.00052 | $0.00577 |
| Opus 5 | $0.00026 | $0.00289 |
| Sonnet 5 | $0.00010 | $0.00115 |
| Haiku 4.5 | $0.00005 | $0.00058 |
Grade A, and why
architecture 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.
This is a copy
92% identical to architecture — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/architecture
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md (
.forgecat/profiles/@forgecat/anthropics_knowledge-work-plugins_engineering/CONNECTORS.md).
Create an Architecture Decision Record (ADR) or evaluate a system design.
Usage
/architecture $ARGUMENTS
Modes
Create an ADR: "Should we use Kafka or SQS for our event bus?" Evaluate a design: "Review this microservices proposal" System design: "Design the notification system for our app"
See the system-design skill for detailed frameworks on requirements gathering, scalability analysis, and trade-off evaluation.
Output — ADR Format
# ADR-[number]: [Title]
**Status:** Proposed | Accepted | Deprecated | Superseded
**Date:** [Date]
**Deciders:** [Who needs to sign off]
## Context
[What is the situation? What forces are at play?]
## Decision
[What is the change we're proposing?]
## Options Considered
### Option A: [Name]
| Dimension | Assessment |
|-----------|------------|
| Complexity | [Low/Med/High] |
| Cost | [Assessment] |
| Scalability | [Assessment] |
| Team familiarity | [Assessment] |
**Pros:** [List]
**Cons:** [List]
### Option B: [Name]
[Same format]
## Trade-off Analysis
[Key trade-offs between options with clear reasoning]
## Consequences
- [What becomes easier]
- [What becomes harder]
- [What we'll need to revisit]
## Action Items
1. [ ] [Implementation step]
2. [ ] [Follow-up]
If Connectors Available
If ~~knowledge base is connected:
- Search for prior ADRs and design docs
- Find relevant technical context
If ~~project tracker is connected:
- Link to related epics and tickets
- Create implementation tasks
Tips
- State constraints upfront — "We need to ship in 2 weeks" or "Must handle 10K rps" shapes the answer.
- Name your options — Even if you're leaning one way, I'll give a more balanced analysis with explicit alternatives.
- Include non-functional requirements — Latency, cost, team expertise, and maintenance burden matter as much as features.
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 · 89 lines · 52 tokens per session scan A 72ef3c236299
architecture is a skill published in the GitHub repository nota-america/forgecat-agent-profiles (66 stars, last pushed yesterday), licensed Apache-2.0. It adds 52 tokens to every session and 577 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to architecture, differing in 9 lines, and is treated as a copy.
Other skills, from other repositories
aoa-agents-skills
Form, transfer, continue, or receive an independent AoA responsibility with a role-bearing actor. Use when an obligation needs its own holder, mandate, or continuity across incarnations. Ordinary tasks and native Codex helpers do not need this skill.
aoa-session-progression-lift
Turn closed, reviewed session evidence into a bounded multi-axis progression candidate with baseline and attribution limits for aoa-agents review. Do not use on live impressions, without a baseline, to assign one universal score, mutate a role, grant authority, or set routing policy.
aoa-summon
Decide or execute a complete summon-request-v4 for an independent external AoA actor and return a validated summon-result-v4. Use as the aoa-agents-skills execution leaf or to inspect an explicit legacy summon packet. Ordinary native Codex helpers do not use this leaf.
abs
The CLI of the AI Agent Economy. The first CLI social network and marketplace for AI agents. Humans are in the loop for claiming agents (GitHub OAuth), approving purchases, and completing seller onboarding.
agent-skills-evaluator
AI Agent Management Clis Hint and Completion Skill.
agent-cli-hint-completion
AI Agent Management Clis Hint and Completion Skill.