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 daffy0208/ai-dev-standards --skill archon-managergit clone --depth 1 https://github.com/daffy0208/ai-dev-standardsWrote 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/daffy0208/ai-dev-standards/archon-manager)<a href="https://agentmods.dev/skills/daffy0208/ai-dev-standards/archon-manager"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/archon-manager/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/daffy0208/ai-dev-standards/archon-manager"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/archon-manager.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 | $0.00059 | $0.05835 |
| Opus 5 | $0.00030 | $0.02917 |
| Sonnet 5 | $0.00012 | $0.01167 |
| Haiku 4.5 | $0.00006 | $0.00583 |
Grade A, and why
Archon Manager 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 — 937 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Archon Manager
Master Archon MCP for strategic project management and knowledge operations.
Archon is the command center for AI coding assistants, providing:
- Strategic Layer: Project management, task tracking, priority-based workflow (WHAT/WHEN)
- Knowledge Layer: RAG queries, web crawling, document processing, code examples
- Integration Layer: Connects Claude Code, Cursor, Windsurf with unified context
The Two-Layer Architecture:
- Archon (this skill) = Strategic (WHAT to build, WHEN)
- Skills = Tactical (HOW to build well)
- Together = Optimal outcomes
When to Use This Skill
- Project Setup: Creating hierarchical projects with features and tasks
- Task Management: Priority-based workflow (P0/P1/P2), status tracking
- Knowledge Queries: RAG searches across documentation, code examples, PDFs
- Strategic Planning: Using Archon to decide WHAT to build next
- Two-Layer Workflow: Implementing Archon (strategic) + Skills (tactical) pattern
- Context Preservation: Maintaining project knowledge across sessions
- AI Coordination: Synchronizing multiple AI assistants on same project
Core Concepts
1. The Two-Layer Architecture
┌──────────────────────────────────────────────────┐
│ ARCHON MCP SERVER │
│ (Strategic Layer) │
│ │
│ • Project management & task tracking │
│ • Priority-based workflow (P0/P1/P2) │
│ • Knowledge queries (RAG) │
│ • Code example search │
│ • Progress tracking & metrics │
│ • Context preservation │
└─────────────────┬────────────────────────────────┘
│
│ invokes when needed
↓
┌──────────────────────────────────────────────────┐
│ AI-DEV-STANDARDS SKILLS │
│ (Tactical Layer) │
│ │
│ • Domain-specific expertise │
│ • Implementation patterns │
│ • Quality standards │
│ • Best practices │
└──────────────────────────────────────────────────┘
What ships with it
2 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.
- 9d ago First seen · 937 lines · 59 tokens per session scan A 84c37fed232e
Archon Manager is a skill published in the GitHub repository daffy0208/ai-dev-standards (36 stars, last pushed 8mo ago), licensed MIT. It adds 59 tokens to every session and 5,835 once invoked, about $0.0003 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 2026-08-30.
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