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/automagik-dev/genie/dreamnpx skills add automagik-dev/genie --skill dreamgit clone --depth 1 https://github.com/automagik-dev/genieWrote 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/automagik-dev/genie/dream)<a href="https://agentmods.dev/skills/automagik-dev/genie/dream"><img src="https://agentmods.dev/badge/skills/automagik-dev/genie/dream.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 5.1 | $0.00027 | $0.01643 |
| Opus 5 | $0.00014 | $0.00822 |
| Sonnet 5 | $0.00005 | $0.00329 |
| Haiku 4.5 | $0.00003 | $0.00164 |
Grade A, and why
dream 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 6d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dream — Overnight Batch Execution
Runtime syntax: invoke the plugin copy through the active runtime's owner-qualified skill selector; use a bare selector only when intentionally selecting a user-tier copy (a separately installed personal copy; Genie no longer seeds this tier). Cross-skill prose below uses bare names as portable semantic routes; the orchestrator resolves the selector for the active runtime.
Pick SHIP-ready wishes, build a dependency-ordered plan, dispatch one worker subagent per wish, review PRs, merge to dev, run the QA loop, and write a wake-up report. The dream orchestrator dispatches — it never executes wish work directly.
This is a high-impact, explicit-only workflow. The user must approve the selected wishes, the generated plan, PR creation, and merge-to-dev authority. Never merge to main or master, deploy, send external messages, or expand scope without separate authority.
When to Use
- Human wants to queue multiple wishes for autonomous overnight execution
- Multiple WISH.md files have persisted status
APPROVED
Flow
- Pick wishes (Picker below); human confirms the selection.
- Generate
.genie/DREAM.md— dependency-ordered plan; human may edit before the run. - Phase 1 — Execute: dispatch workers layer by layer, collect outcomes.
- Phase 2 — Review + PR: review every PR, fix valid gaps, CI green.
- Phase 3 — Merge + QA: merge to dev in order, QA loop until criteria proven.
- Phase 4 — Report: write
.genie/DREAM-REPORT.md, the wake-up artifact.
Picker
- Read
.genie/wishes/*/WISH.mdand select only wishes whose Status field is exactlyAPPROVED. The brainstorm jar is historical/discovery context, never readiness authority. A Poured entry without an existing approved WISH.md is skipped and reported as drift. No matches → printNo APPROVED wishes found under .genie/wishes/and stop. - List matches numbered by slug:
1. <slug> — <one-line description>. - Human picks by number (
1 3 5) orall.
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.
- 6d ago First seen · 108 lines · 27 tokens per session scan A b083d11629d4
dream is a skill published in the GitHub repository automagik-dev/genie (334 stars, last pushed 2d ago), licensed MIT. It adds 27 tokens to every session and 1,643 once invoked, about $0.0001 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.
Other skills, from other repositories
openspec-verify-change
Verify implementation matches change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving.
openspec-new-change
Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach.
writing
将共享历史中的已验证事实和计算结果整理成符合受众、格式与长度约束的成稿。.
extract
Run the full Semantica semantic extraction pipeline on a file or selected text — NER, relations, events, coreference resolution, triplets, and validation. Clears result cache before each run. Returns Markdown tables with entity/relation/event/triplet results and inline validator warnings.
gsd-audit-milestone
Audit milestone completion against original intent before archiving.
gsd-ns-manage
Route to the appropriate management skill based on the user's intent. gsd-config (settings + advanced + integrations + profile) and gsd-workspace (new + list + remove) are post-#2790 consolidated entries.