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/ssube/conclave/take-notenpx skills add ssube/conclave --skill take-notegit clone --depth 1 https://github.com/ssube/conclaveWhat 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 | $0.00045 | $0.00747 |
| Opus 5 | $0.00023 | $0.00374 |
| Sonnet 5 | $0.00009 | $0.00149 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
take-note 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 2d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Take Note Skill
Quickly capture notes, learnings, observations, and context. Builds a searchable knowledge base over time.
Requirements
pip install chromadb
Usage
Capture a quick note
python3 {baseDir}/note.py "Learned that Flux models respond better to natural language prompts"
Auto-generates ID with timestamp: note-2026-02-10-213045-abc123
Add note with category/tags
python3 {baseDir}/note.py "User prefers dark fantasy aesthetics with purple and green color schemes" \
--category user-preferences \
--tags "color,style,fantasy"
Add note with custom ID
python3 {baseDir}/note.py "Important discovery about training parameters" \
--id important-training-discovery
Search notes
python3 {baseDir}/note.py --search "training parameters" --limit 5
List recent notes
python3 {baseDir}/note.py --list [--limit 10]
What Gets Stored
Each note includes:
- Content: Your note text (embedded for semantic search)
- ID: Auto-generated
note-YYYY-MM-DD-HHMMSS-hashor custom - Timestamp: ISO 8601 timestamp
- Category: Optional category for filtering (default: "general")
- Tags: Comma-separated tags for filtering
- Source: "agent" to distinguish from imported notes
Categories
Suggested categories (use what makes sense):
learning— Technical discoveries, how-tosuser-preferences— User likes/dislikes, style preferencescontext— Background info, project contextdecision— Decisions made and whyidea— Ideas for future explorationobservation— Patterns noticed over timegeneral— Default for uncategorized notes
Environment Variables
CHROMADB_HOST: ChromaDB server host (default:localhost)CHROMADB_PORT: ChromaDB server port (default:8000)
Examples
# Quick learning capture
python3 {baseDir}/note.py "The scratching LoRA works best at weight 0.8-1.0 for sketch effects"
# User preference with tags
python3 {baseDir}/note.py "User avoids overly bright colors, prefers muted/dark palettes" \
--category user-preferences \
--tags "color,palette,style"
# Technical decision with category
python3 {baseDir}/note.py "Switched to cosine scheduler for all future training - smoother results" \
--category decision \
--tags "training,scheduler"
# Search for relevant context
python3 {baseDir}/note.py --search "user color preferences"
# List recent notes
python3 {baseDir}/note.py --list --limit 5
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.
- 2d ago First seen · 110 lines · 45 tokens per session scan A 2a4b764e55e0
take-note is a skill published in the GitHub repository ssube/conclave (2 stars, last pushed 6mo ago), licensed MIT. It adds 45 tokens to every session and 747 once invoked, about $0.0002 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
mine
Mine a project or conversation into your MemPalace — extract and store memories for later retrieval.
search
Search your MemPalace — semantic search across all mined memories, projects, and conversations.
tool-prompt-optimization
Optimize the description prompts an AI agent reads to learn its built-in tools (the .md files under prompts/tools/). Two halves: (1) measure how much of a prompt is already inferable from the tool's JSON parameter schema + name, to prune redundancy with evidence; (2) house authoring rules for what belongs in a tool…
mempalace-recall
Recall protocol for MemPalace — search the palace before answering about past work, people, projects, or prior decisions. Apply when the user asks what was decided, what happened before, who someone is, what was discussed last time, or anything that may already be filed in their memory palace; or when mempalace-recall…
docker-extend
Use when: User wants to extend Docker with custom tools, personalize the Docker environment, or set up user-specific Docker customization. Triggers: 'extend docker', 'docker-extend', 'add tools to docker', 'customize docker', 'add my tools to the container', 'personalize docker setup', 'docker user setup', 'install…
runjam-defaults
Default constraints for every RunJam session. Defines output path conventions, dependency checking rules, fallback strategies, and file management discipline. This skill is auto-injected into every session — do not remove. Current session working directory: /Users/guizhan/work/code/runjam.