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 jason21wc/ai-governance-mcp --skill dreamgit clone --depth 1 https://github.com/jason21wc/ai-governance-mcpWrote 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/jason21wc/ai-governance-mcp/dream)<a href="https://agentmods.dev/skills/jason21wc/ai-governance-mcp/dream"><img src="https://agentmods.dev/badge/skills/jason21wc/ai-governance-mcp/dream/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/jason21wc/ai-governance-mcp/dream"><img src="https://agentmods.dev/badge/skills/jason21wc/ai-governance-mcp/dream.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00092 | $0.00453 |
| Opus 5.5 | $0.00037 | $0.00181 |
| Sonnet 5.5 | $0.00018 | $0.00091 |
| Haiku 4.5 | $0.00009 | $0.00045 |
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 2mo 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
/dream — Cross-Session Memory Enrichment
Analyzes completed session transcripts to find decisions, lessons, and context that were discussed but never captured in memory files. Spawns per-session analysis agents, aggregates findings, and presents proposed changes for your review before applying.
Runtime Context
After the skill loads, follow procedure.md to resolve the active memory layout,
measure memory files, and discover completed transcripts whose recorded working
directory matches this project. Missing host transcript storage is a scope limit,
not a reason for skill loading to fail.
Instructions
Collect the Runtime Context above, then follow procedure.md (loaded on demand). The procedure has
5 phases: Session Discovery → Transcript Analysis → HITL Review → Quality Check
→ Commit (cadence boundary).
Auto-run: the SessionStart dream-cadence hook may inject an AUTO-RUN
directive for this procedure when enough unmined sessions accumulate (title-10
§7.11.4). That deterministic trigger is the sanctioned automatic entry;
disable-model-invocation: true stays — the model must not semantically
self-fire a subagent-spawning skill (per the §9.5.3 two-prong bar). HITL on
apply/commit is unchanged in auto-run.
Key constraints:
- All subagents are READ-ONLY — they return proposals, never write directly
- Use default model (Opus) for analysis subagents — this is deeper reasoning than journaling
- Present ALL proposals before applying any — the user reviews the full picture first
- After applying approved changes, check for duplicates or contradictions
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.
- 2mo ago First seen · 44 lines · 92 tokens per session scan A 8443278eb776
dream is a skill published in the GitHub repository jason21wc/ai-governance-mcp (0 stars, last pushed 25d ago), licensed Apache-2.0. It adds 92 tokens to every session and 453 once invoked, about $0.0004 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 2026-08-31.
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