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/s3yed/appie-kit/fleet-dreamnpx skills add S3YED/appie-kit --skill fleet-dreamgit clone --depth 1 https://github.com/S3YED/appie-kitWrote 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/s3yed/appie-kit/fleet-dream)<a href="https://agentmods.dev/skills/s3yed/appie-kit/fleet-dream"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/fleet-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 | $0.00080 | $0.00368 |
| Opus 5 | $0.00040 | $0.00184 |
| Sonnet 5 | $0.00016 | $0.00074 |
| Haiku 4.5 | $0.00008 | $0.00037 |
Grade A, and why
fleet-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.
What it actually says
Fleet Dream — Cross-Fleet Memory Consolidation
Runs every night at 03:05 AM. Collects memory from all agents, consolidates with MiniMax M2.7, writes to memory/fleet-dreams/.
How It Works
03:05 AM — Appie-1 (Mac Mini)
├─ SSH → Appie-2: collect ~/.openclaw/memory/YYYY-MM-DD.md
├─ SSH → Appie-3: collect ~/.hermes/memories/*.md
├─ SSH → Appie-4: collect ~/.hermes/memories/*.md
└─ Local: ~/memory/YYYY-MM-DD.md
↓
MiniMax M2.7 consolidation prompt
↓
Writes:
- ~/memory/fleet-dreams/YYYY-MM-DD.md (unified fleet dream log)
- Updates ~/memory/YYYY-MM-DD.md with fleet-level insights
Manual Trigger
/fleet-dream
Or from this skill: "Run the fleet dream now"
Config
scripts/fleet-dream.sh— main cron scriptmemory/fleet-dreams/— consolidated dream logs- Schedule:
5 3 * * *(3:05 AM daily)
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.
- 6d ago First seen · 41 lines · 80 tokens per session scan A a96beda27467
fleet-dream is a skill published in the GitHub repository S3YED/appie-kit (7 stars, last pushed 10d ago), licensed MIT. It adds 80 tokens to every session and 368 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 2026-08-31.
Other skills, from other repositories
hive.context-preservation
Proactively extract critical values from tool results into working notes before automatic context pruning destroys them.
hive.note-taking
Maintain a free-form scratchpad of decisions, extracted values, and open questions so context pruning doesn't lose anything you still need.
caveman-compress
Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman-compress FILEPATH or…
dream
Prunes and consolidates the project's auto-memory to keep it minimal — deletes stale, wrong, or redundant memories, merges overlapping ones into existing files, and trims the index. Strong bias against growth: never creates new memory files and never stores new facts. Verifies staleness against the current codebase…
people-sync
Pulls a Granola meeting transcript and updates people files with per-person intelligence: what they said, what they pushed back on, what they committed to. Compounds over time — each meeting adds a layer. Triggers on: "sync people", "update people from meeting", "update stakeholders", "/people-sync".
handoff-doc
Create portable handoff document when switching sessions.