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 agent-tools-org/ai-dispatch --skill aid-guidegit clone --depth 1 https://github.com/agent-tools-org/ai-dispatchWrote 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/agent-tools-org/ai-dispatch/aid-guide)<a href="https://agentmods.dev/skills/agent-tools-org/ai-dispatch/aid-guide"><img src="https://agentmods.dev/badge/skills/agent-tools-org/ai-dispatch/aid-guide/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/agent-tools-org/ai-dispatch/aid-guide"><img src="https://agentmods.dev/badge/skills/agent-tools-org/ai-dispatch/aid-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00111 | $0.01578 |
| Opus 5.5 | $0.00044 | $0.00631 |
| Sonnet 5.5 | $0.00022 | $0.00316 |
| Haiku 4.5 | $0.00011 | $0.00158 |
Grade A, and why
aid-guide 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 1mo 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AID Official Guide
Use this skill as the authoritative operating guide for the installed AID
release. Prefer the installed binary's aid <command> --help when exact flags
may differ from the reference.
What the dispatcher owns
AID's premise is that the caller dispatching work is the best-informed component in the system. AID therefore declines to guess what that caller already knows, which puts these responsibilities on the caller:
- Declare the task profile.
--difficulty --budget --urgency --rigor, and--kindwhen the category matters. Undeclared values are stored as null rather than inferred, and a null tells every downstream decision that nobody knows. Data locality is a separate declaration:--egress any|local|private-network(defaultany), decided by the provider endpoint — not by CLI identity.localadmits loopback only (localhost,127.0.0.0/8,::1);private-networkadmits loopback or RFC1918/link-local IPs plus.local/.home.arpahostnames and does not widenlocal. - Declare tools and skills. AID applies no skill unless one is declared
(
--skill, or a project default). Omitting--kinddescribes every resolved toolbox tool rather than hiding some behind a guessed category. - Route by provider, not by agent name. A route is
<cli>/<provider>/<model>. One exhausted route says nothing about another provider that reaches a model of the same class. Never dispatch to a weaker model on the provider pool the caller is already running on: a different provider is delegation, the same pool for a worse model is waste. - Verify by running. An agent's own report of success is not evidence.
--rigorstates the proof owed —draftcompiles,standardruns the changed path and captures real output,criticaladds an independent audit. A task's judgment is its derivedTaskOutcome, not its lifecycleTaskStatus: onlyVerifiedandDeliveredare success.Unverifiedis inconclusive andBrokenis a verification failure; neither is success. ADonetask assessedhollow_outputormissing_final_deliveryis also not success — those mean no deliverable was observed anywhere, not merely empty stdout. - Read
unknownas unknown. A model, provider, or cost AID could not establish is reported as unknown rather than filled in with a plausible value. Several CLIs never name the model they ran, so unknown is the honest and expected answer for many tasks. - Keep briefs short. State the goal and the red lines; the implementation path is the thing being delegated.
- Do not edit a directory while an agent is working in it. AID snapshots
the dirty paths once, at dispatch, and excludes them when it rescues an
agent's uncommitted output — so edits made before dispatch are safe. Edits
made during the run are not in that snapshot and are indistinguishable
from the agent's, so they are swept into the same rescue commit. Dispatch
with
--worktree <branch>and the agent works somewhere else entirely. Every rescue prints the files it staged; read that line rather than discovering it later.
What ships with it
13 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.
- agents/openai.yaml 212 B
- references/classify.md 7.0 KB
- references/collaboration.md 4.7 KB
- references/command-errors.md 6.8 KB
- references/command-index.md 20 KB
- references/configuration.md 28 KB
- references/dispatch-delivery.md 16 KB
- references/dispatch-retry.md 12 KB
- references/dispatch-routing.md 17 KB
- references/dispatch.md 24 KB
- references/maintenance.md 1.9 KB
- references/task-lifecycle.md 13 KB
- references/task-operations.md 22 KB
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.
- 1mo ago Changed · +2 lines 54da96f1cb75
- 1mo ago Changed · +2 lines 74fb575bb476
- 1mo ago First seen · 125 lines · 111 tokens per session scan A 394bc580b3a7
aid-guide is a skill published in the GitHub repository agent-tools-org/ai-dispatch (12 stars, last pushed 2d ago), licensed MIT. It adds 111 tokens to every session and 1,578 once invoked, about $0.0004 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 2026-08-30.
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