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/modeled-information-format/mnemonic/blackboardnpx skills add modeled-information-format/mnemonic --skill blackboardgit clone --depth 1 https://github.com/modeled-information-format/mnemonicWrote 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/modeled-information-format/mnemonic/blackboard)<a href="https://agentmods.dev/skills/modeled-information-format/mnemonic/blackboard"><img src="https://agentmods.dev/badge/skills/modeled-information-format/mnemonic/blackboard.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 | $0.00018 | $0.00863 |
| Opus 5 | $0.00009 | $0.00432 |
| Sonnet 5 | $0.00004 | $0.00173 |
| Haiku 4.5 | $0.00002 | $0.00086 |
Grade A, and why
blackboard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory
Search first: /mnemonic:search {relevant_keywords}
Capture after: /mnemonic:capture {namespace} "{title}"
Run /mnemonic:list --namespaces to see available namespaces from loaded ontologies.
Mnemonic Blackboard Skill
Cross-session handoff, persistent context, and agent coordination.
Trigger Phrases
- "blackboard", "cross-session", "session handoff", "shared context"
Coordination Overview
| Scope | Mechanism | Tools |
|---|---|---|
| In-session | Claude Code native swarm | TeamCreate, SendMessage, TaskCreate, TaskUpdate |
| Cross-session | Mnemonic blackboard handoff | handoff/latest-handoff.md via hooks |
| Persistent knowledge | Mnemonic memories | *.memory.md files |
Path Resolution
MNEMONIC_ROOT=$(tools/mnemonic-paths root)
BLACKBOARD=$(tools/mnemonic-paths blackboard)
HANDOFF_DIR=${BLACKBOARD}/handoff
Directory Structure
${BLACKBOARD}/
├── _legacy/ # Pre-migration files (frozen)
├── sessions/
│ └── {session_id}/
│ ├── session-notes.md # Session activity log
│ └── _meta.json # Session lifecycle metadata
├── handoff/
│ ├── latest-handoff.md # Cross-session context (overwritten each session end)
│ └── handoff-{session_id}.md # Archived per-session handoffs
└── .archive/ # Archived entries
Cross-Session Handoff
How It Works
- Session end (
hooks/stop.py): Writes summary tohandoff/latest-handoff.md - Session start (
hooks/session_start.py): Readshandoff/latest-handoff.mdto restore context
This is automatic via hooks.
Handoff Format
# Session Handoff
**Session:** {session_id}
**Ended:** {timestamp}
**Project:** {org}/{project}
## What Was Accomplished
- Completed items
## In Progress
- Ongoing work with current state
## Blocked
- Blocker: reason
## Next Steps
- [ ] Action item 1
- [ ] Action item 2
## Important Context
- Key context for next session
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.
- 5d ago First seen · 138 lines · 18 tokens per session scan A d9ee87e55521
blackboard is a skill published in the GitHub repository modeled-information-format/mnemonic (23 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 863 once invoked, about $0.0001 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.
Other skills, from other repositories
reflect
Deep reflection skill - read memory and context, decide whether there is something worth sending.
digest-auto
EpisodicRAG システムの現在の状態を分析することで、 まだらボケ(未処理 Loop/プレースホルダー/欠番)を検出し、 生成可能なダイジェスト階層を判別するスキルです。 まだらボケの早期検出・予防のため、定期的に実行することを推奨します。.
digest-config
EpisodicRAG設定変更(対話的).
digest-setup
EpisodicRAG初期セットアップ(対話的).
okf
Author, maintain, and consume Open Knowledge Format (OKF) knowledge bundles — portable markdown + YAML frontmatter that both humans and agents read. Use when capturing project knowledge (services, APIs, schemas, metrics, runbooks, decisions) into an OKF bundle, when updating one after code or docs change, or when a…
forgetful-remember
Remember knowledge worth keeping — a decision made, a solution found, a preference stated, a pattern confirmed. Use when work surfaces something future sessions will need, or the user asks to remember something. Routes content to the right store (memory, document, code artifact, entity, procedure, file) and enforces…