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/hyperb1iss/hyperskills/dreamnpx skills add hyperb1iss/hyperskills --skill dreamgit clone --depth 1 https://github.com/hyperb1iss/hyperskillsWrote 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/hyperb1iss/hyperskills/dream)<a href="https://agentmods.dev/skills/hyperb1iss/hyperskills/dream"><img src="https://agentmods.dev/badge/skills/hyperb1iss/hyperskills/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 | $0.00059 | $0.02057 |
| Opus 5 | $0.00030 | $0.01028 |
| Sonnet 5 | $0.00012 | $0.00411 |
| Haiku 4.5 | $0.00006 | $0.00206 |
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 today.
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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dream: Conversation Review and Knowledge Consolidation
Recover decisions and lessons that inline capture missed, then connect repeated observations across the authorized sessions. Preserve what a future session needs to know, with its provenance and limits. A conversation contains claims and proposed actions as well as results; repetition does not turn a claim into a fact.
Scope and depth
Use the requested projects and time span. When unspecified, start with recent sessions for the current project and say what you covered. Cross-project discovery is appropriate for an explicitly broad dream; access to a transcript is not permission to move its contents into another project's memory.
| Mode | Scope and result |
|---|---|
| Quick | Recent work in the current project; capture the useful missed lessons |
| Default | Sessions since the previous checkpoint; consolidate recurring decisions and failures |
| Deep | Requested projects and interval; add cross-session synthesis and staleness checks |
| Lucid | Named sessions or topic; targeted extraction |
| Mining run | Explicit corpus-scale request; partition independent session sets when delegation is authorized |
These modes set depth, not output quotas. A short session can contain a decisive correction; a large transcript can contain only duplicated context and tool output. Do not infer value from byte size or require a fixed number of captures.
Orient and discover
Load the installed sibyl skill and version-matched contract. Recall prior dream coverage and relevant knowledge:
sibyl skill get contract
sibyl context "dream report and uncaptured lessons for this project" --intent review
Inspect the returned report when its coverage is needed. Track source session IDs and processed positions, not only a wall-clock date. An ongoing session can append useful material after a previous dream; a fork or compaction can repeat older material under new records.
What ships with it
2 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.
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.
- today Changed · -146 lines · -7 tokens per session scan B → A 794b4bf4043b
- 5d ago First seen · 281 lines · 66 tokens per session scan B b7270207e24b
dream is a skill published in the GitHub repository hyperb1iss/hyperskills (30 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 2,057 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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