Borrowing it
Nothing to install: this file belongs to unbound-force/gaze. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/unbound-force/gaze/main/.opencode/skills/dispatch-advisor/SKILL.mdgit clone --depth 1 https://github.com/unbound-force/gazeWrote 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/unbound-force/gaze/dispatch-advisor)<a href="https://agentmods.dev/skills/unbound-force/gaze/dispatch-advisor"><img src="https://agentmods.dev/badge/skills/unbound-force/gaze/dispatch-advisor/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/unbound-force/gaze/dispatch-advisor"><img src="https://agentmods.dev/badge/skills/unbound-force/gaze/dispatch-advisor.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 | $0.01011 |
| Opus 5.5 | $0.00016 | $0.00404 |
| Sonnet 5.5 | $0.00008 | $0.00202 |
| Haiku 4.5 | $0.00004 | $0.00101 |
Grade A, and why
dispatch-advisor 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 8d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Dispatch Advisor
Create one validated dispatch plan before a Divisor workflow starts child review sessions. This skill adapts the verified fullsend advisor while removing fullsend-only and content-persona review behavior.
The review-dispatch plugin owns policy. This skill and every consuming
command MUST call plan_review_dispatch; they MUST NOT parse the review
matrix or reviewer manifest, select reviewers, classify tiers, resolve
models or variants, augment runs, deduplicate runs, or enforce limits on
their own.
Inputs
Pass these raw inputs to plan_review_dispatch:
| Input | Contract |
|---|---|
mode |
code, specs, triage, feedback, or test |
discovered_agents |
Every discovered divisor-* agent name; do not pre-prune |
full |
Whether the validated command arguments contain --full |
augment |
Explicit caller opt-in to configured risk augmentation |
changed_files |
For non-triage modes, path plus inserted/deleted counts for each changed file |
issue |
For triage, raw title, nullable body, and comments with numeric id, creation time, and body |
Do not synthesize a diff for issue triage. Do not summarize or normalize issue content before passing it to the tool. The planner owns Unicode and line-ending normalization, comment ordering, framing, hashing, keyword classification, and issue tier boundaries.
For diff-backed modes, pass the reviewed base-to-head file list and line
counts. The planner owns Protocol 3 path classification, component span,
security and user-facing signals, reviewer relevance, and total tiering.
specs is retained as the command mode while the planner normalizes its
matrix lookup to spec. test uses code profiling and restricts selection
to divisor-testing.
Plan Contract
Treat the returned JSON bytes as authoritative. The planner emits version 1 with stable agent-name and run-sequence ordering. Every entry records:
- agent and include/skip decision;
- reason code and human-readable reason;
explicit,advisor, orhostsource;- positive per-agent sequence and read-only intent;
- nullable tier, model, and variant; and
- validation errors.
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.
- 8d ago First seen · 106 lines · 39 tokens per session scan A ab95841ea76b
dispatch-advisor is a skill published in the GitHub repository unbound-force/gaze (4 stars, last pushed yesterday), licensed Apache-2.0. It adds 39 tokens to every session and 1,011 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 2026-10-29.
dispatch-advisor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dispatch-advisorunbound-force/gaze | Skill | 4 | yesterday | Apache-2.0 | A | 39 | OpenCode |
| autoreviewopenclaw/clawhub | Skill | 9.5k | yesterday | MIT | A | 17 | Claude Code, Codex |
| agent-teams-simplify-and-hardenLeoYeAI/openclaw-master-skills | Skill | 2.2k | 5d ago | MIT | A | 115 | Claude Code, Codex |
| omh-code-reviewrlaope/oh-my-hermes | Skill | 5.2k | today | MIT | A | 48 | Claude Code, Codex |
| revdiff-planumputun/revdiff | Skill | 945 | yesterday | MIT | A | 84 | Claude Code |
| explore-unknownsdzhng/skills | Skill | 1.4k | 2d ago | MIT | A | 162 | Claude Code, Codex |
| re0-mergeLilMGenius/paperthin | Skill | 1.4k | 4d ago | MIT | A | 70 | Claude Code |