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/codeaholicguy/ai-devkit/agent-managementnpx skills add codeaholicguy/ai-devkit --skill agent-managementgit clone --depth 1 https://github.com/codeaholicguy/ai-devkitWhat 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 | $0.00056 | $0.00518 |
| Opus 5 | $0.00028 | $0.00259 |
| Sonnet 5 | $0.00011 | $0.00104 |
| Haiku 4.5 | $0.00006 | $0.00052 |
Grade A, and why
agent-management 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 yesterday.
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 Management
Use ai-devkit agent ...; if unavailable, use npx ai-devkit@latest agent ....
Workflow
- List agents:
ai-devkit agent list --json. - Identify self: compare your current session id to
sessionIdfromlist --json - Inspect before acting:
ai-devkit agent detail --id <name> --json --tail 20. - Reuse idle agents when suitable; otherwise start one with
agent start. - Send self-contained assignments. Track each agent's task and last instruction.
- Verify completed work before reporting it done. Use
$agent-communicationfor agent-to-agent updates.
Commands
ai-devkit agent list --json
ai-devkit agent detail --id <name> --json --tail 20
ai-devkit agent start --type codex --name <name> --cwd <path>
ai-devkit agent send --id <name> "<single-line instruction>"
ai-devkit agent send --id <name> --wait --timeout 120000 --json "<single-line instruction>"
ai-devkit agent send --group <group> "<single-line instruction>"
ai-devkit agent sessions --cwd <path> --type codex --json --limit 20
ai-devkit agent rename <old-name> <new-name>
ai-devkit agent kill <name>
Use exact names from list --json. Partial matches are convenient but risk sending work to the wrong agent.
Assignment Rules
- Do not send instructions to yourself unless intentional.
- Prefer task names like
auth-review,ui-tests, ordocs-pass. - Include objective, scope/files, constraints, validation command, expected output, and whether to stop or continue.
- Assign non-overlapping files or sequence dependent work.
- Use groups only for broadcasts that truly apply to every member.
- Ask before killing agents you did not start, destructive actions, production/shared-system actions, or product decisions.
Example:
ai-devkit agent send --id auth-review "Review auth middleware in /repo. Do not edit files. Report security findings with file/line references, ranked by severity."
What ships with it
1 file 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.
- yesterday First seen · 49 lines · 56 tokens per session scan A ce846e43722d
agent-management is a skill published in the GitHub repository codeaholicguy/ai-devkit (1,601 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 518 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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