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 agentmods add skills/xiaolai/cc-suite/agent-designnpx skills add xiaolai/cc-suite --skill agent-designgit clone --depth 1 https://github.com/xiaolai/cc-suiteWrote 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/xiaolai/cc-suite/agent-design)<a href="https://agentmods.dev/skills/xiaolai/cc-suite/agent-design"><img src="https://agentmods.dev/badge/skills/xiaolai/cc-suite/agent-design.svg" alt="Measured on agentmods" 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 | $0.00092 | $0.03281 |
| Opus 5 | $0.00046 | $0.01640 |
| Sonnet 5 | $0.00018 | $0.00656 |
| Haiku 4.5 | $0.00009 | $0.00328 |
Grade A, and why
agent-design 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 5d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Designing cc-suite Advisor Agents
cc-suite advisor agents are project-scoped consultative personas backed by claude-octopus. Each lives at .cc-suite/agents/<name>.md and is registered as an MCP server in both .mcp.json (Claude side) and .codex/config.toml (Codex side) by scripts/bridge_agents.py. Either tool can call any agent via mcp__<name>__<tool_name>.
Advisors are not subagents that do work. They are advisors that judge work. Get this mental model right and the rest follows.
When to make an advisor vs use the Task tool vs write a skill
- Task tool / subagent: needed when you want a subagent to execute a focused chunk of work in isolated context (research, refactor a file, run a probe). The subagent returns a result and disappears.
- Skill: knowledge or convention that any caller can load on demand. Static text. No model invocation.
- Advisor agent: needed when you want a persistent persona with a stable point of view that the main caller can consult repeatedly. Different system prompt, different tool restrictions, different model — and the advisor remembers past consultations via its timeline directory.
Rule of thumb: if you'd describe the thing as "a person you'd ask for an opinion," it's an advisor. If you'd describe it as "a job you'd hand off," it's a subagent. If it's "a rulebook," it's a skill.
The file format
---
name: <kebab_or_snake_case_name> # required if filename ≠ desired name
description: | # multi-line block scalar — see below
<one-line caller-facing summary>
<example>
Context: <when a caller would consult this advisor>
user: "<the kind of question they'd ask>"
assistant: "<how Claude/Codex would invoke the advisor — show the framing, not the answer>"
</example>
<example>
Context: <a second, different scenario>
user: "<another representative question>"
assistant: "<another framing>"
</example>
tool_name: <name>_consult # optional; default <name>_consult
model: opus | sonnet | haiku # optional; default = caller's setting
allowed_tools: [Read, Grep, Glob] # default for advisors
disallowed_tools: [] # optional
permission_mode: default # default | acceptEdits | plan | dontAsk | auto | bypassPermissions
max_turns: 5 # default 5 for advisors
max_budget_usd: 0.50 # per-consultation cap
effort: high # low | medium | high | max
cwd: . # relative to project root, default "."
additional_dirs: [] # extra readable dirs
prompt_mode: append # append (default) or replace
---
# Body content — the system prompt
State the values, not the procedures. See the writing rules below.
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.
- 5d ago First seen · 199 lines · 92 tokens per session scan A 753e3687217a
agent-design is a skill published in the GitHub repository xiaolai/cc-suite (44 stars, last pushed 3d ago), licensed ISC. It adds 92 tokens to every session and 3,281 once invoked, about $0.0005 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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