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 jezweb/vite-flare-starter --skill reveriegit clone --depth 1 https://github.com/jezweb/vite-flare-starterWrote 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/jezweb/vite-flare-starter/reverie)<a href="https://agentmods.dev/skills/jezweb/vite-flare-starter/reverie"><img src="https://agentmods.dev/badge/skills/jezweb/vite-flare-starter/reverie/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/jezweb/vite-flare-starter/reverie"><img src="https://agentmods.dev/badge/skills/jezweb/vite-flare-starter/reverie.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 | $0.00071 | $0.01113 |
| Opus 5.5 | $0.00028 | $0.00445 |
| Sonnet 5.5 | $0.00014 | $0.00223 |
| Haiku 4.5 | $0.00007 | $0.00111 |
Grade A, and why
reverie 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reverie cycle — what to do when there's nothing to do
When N consecutive routine fires have produced no real signal, an agent could either coast ("monitoring continues") or drift into make-work ("here's a summary of recent news"). Reverie is the third option: bounded inward consolidation anchored in the agent's own data.
When this fires
Reverie is activity-conditional, not time-scheduled. A routine fires reverie when its trigger condition is met:
- ≥3 consecutive routine runs produced no findings, no notifications, no inbox additions
- Or: explicit user request ("you're quiet, go to reverie")
Don't schedule reverie via cron. Schedule the routine; let the routine trigger reverie when the quiet condition matches.
Pick ONE inward task
From this menu, pick exactly one. Don't try to do all of them in one cycle.
| Task | What it does | Tool used | When it fits |
|---|---|---|---|
| Promote stable findings | Walk findings from last 14 days; promote stable patterns to learnings, dismiss what didn't hold | entity_search + promote_finding + dismiss_finding |
When entity_search({type:'finding', status:'open'}) returns ≥5 items |
| Refresh memory index | Re-read your memories; merge near-duplicates; archive stale | memory_search + memory_update + memory_remove |
When memory count > 50 and last consolidation > 14d |
| Resolve open asks | Pick one open ask; deep-think on it for 10-15 min; write a finding with the answer or escalate | entity_search({type:'ask', status:'open'}) + record_finding + entity_update (close ask) |
When asks.md (entity type=ask) has ≥1 open item |
| Audit own findings | Walk findings older than 60d; flag anything still 'open' that should be promoted/dismissed | entity_search + entity_update |
Quarterly, not weekly |
| Persona reflection | Re-read your persona blocks; date-stamp any drift you've noticed | entity_get(self) + setBlock |
Monthly |
| Skill review | Pick one skill you use often; mentally test it against today's reality; if stale, propose_patch | load_skill + propose_patch |
When a skill hasn't been touched in 30d+ |
| Cross-pollination read | Read sibling agents' recent findings; surface relevant cross-cutting patterns into the user's inbox | entity_search({type:'finding'}) (cross-agent) + inbox_add |
Daily-rotation candidate |
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 First seen · 85 lines · 71 tokens per session scan A ec2e55079316
reverie is a skill published in the GitHub repository jezweb/vite-flare-starter (49 stars, last pushed 22d ago), licensed MIT. It adds 71 tokens to every session and 1,113 once invoked, about $0.0003 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.
Other skills, from other repositories
knowledge-ingest
Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, timelines, and cross-links; also learn durable lessons from a set of conversations, transcripts, or past sessions (/learn), including the Learn from conversations and Learn from Memory…
forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
mem0-oss-to-platform
Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…