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 | $0.00036 | $0.00557 |
| Sonnet 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 12d 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.
- 12d 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 (48 stars, last pushed 17d ago), licensed MIT. It adds 71 tokens to every session and 1,113 once invoked, about $0.0004 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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