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 yeisonrestrepo/code-conductor --skill agent-delegationgit clone --depth 1 https://github.com/yeisonrestrepo/code-conductorWrote 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/yeisonrestrepo/code-conductor/agent-delegation)<a href="https://agentmods.dev/skills/yeisonrestrepo/code-conductor/agent-delegation"><img src="https://agentmods.dev/badge/skills/yeisonrestrepo/code-conductor/agent-delegation/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/yeisonrestrepo/code-conductor/agent-delegation"><img src="https://agentmods.dev/badge/skills/yeisonrestrepo/code-conductor/agent-delegation.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 | $0.00039 | $0.00374 |
| Opus 5.5 | $0.00016 | $0.00150 |
| Sonnet 5 | $0.00008 | $0.00075 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
agent-delegation 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 4d 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.
What it actually says
Agent Delegation
Keep the main context clean. Raw file contents, grep output, and intermediate data never enter the main context. Sub-agents process data and return summaries only.
When to Spawn
Explore Sub-Agent
Condition: Task requires reading 3+ files to answer one question, or codebase exploration precedes implementation.
// Use the Agent tool with these parameters:
Agent({
subagent_type: "Explore",
description: "<10-word description of the lookup>",
prompt: "<question>. Search across relevant files. Return a summary of ≤200 words. Do not include raw file contents."
})
Parallel Agents
Condition: 2+ implementation tasks with no shared state, each describable independently.
Send both Agent calls in a single message so they run in parallel:
// Use the Agent tool twice in the same message — they run in parallel:
Agent({ description: "Task A", prompt: "... Return a summary of ≤200 words." })
Agent({ description: "Task B", prompt: "... Return a summary of ≤200 words." })
Output Contract
- Every sub-agent returns ≤200 words to the main context.
- The main context acts only on summaries, not raw data.
- If a sub-agent needs user input, it surfaces one question to the main context and stops.
When NOT to Spawn
- Single Grep or Glob can answer the question.
- Answer is already in
.claude/memory/project.md. - Task requires back-and-forth with the user (stay inline).
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.
- 4d ago First seen · 45 lines · 39 tokens per session scan A 4f781a26adc9
agent-delegation is a skill published in the GitHub repository yeisonrestrepo/code-conductor (7 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 374 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-23.
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session-audit
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create-cmd-instruct
Reshape my PREVIOUS message using extra instructions, then save it as a slash command.
status
Use this skill when the user asks "where am I", "what's the current task", "what's blocking me", "show status", "what needs sign-off", or "what's next". Prints a snapshot of the active plan, gate, sign-off progress, and next action. Reads only — writes nothing.
list-cmds
List all my custom slash commands with their descriptions. Use when the user wants to see, browse, or review the custom slash commands they have saved.
whats-next
Suggest what to work on next based on recent activity and current context. Use when the user is between tasks, at a decision point, wants direction on where to focus, or asks what to do next.