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 commands/penfieldlabs/claude-penfield/helpgit clone --depth 1 https://github.com/penfieldlabs/claude-penfieldWrote 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/commands/penfieldlabs/claude-penfield/help)<a href="https://agentmods.dev/commands/penfieldlabs/claude-penfield/help"><img src="https://agentmods.dev/badge/commands/penfieldlabs/claude-penfield/help.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 | $0.00007 | $0.00470 |
| Opus 5 | $0.00003 | $0.00235 |
| Sonnet 5 | $0.00001 | $0.00094 |
| Haiku 4.5 | $0.00001 | $0.00047 |
Grade A, and why
help 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Penfield Memory - Quick Reference
Display this help information to the user:
You Just Talk Naturally
Penfield lets your AI remember things across conversations. You don't need commands - just talk naturally.
Remembering Things
Say things like:
- "Remember this: I prefer morning meetings, not afternoons"
- "Don't forget - Sarah handles legal, John handles IT"
- "Store this decision: We're focusing on enterprise this quarter"
You can tag memories for organization:
- "Remember this and tag it as 'legal': Sarah handles all IP matters"
Recalling Things
Start a new conversation with "Awaken" to load your context, then ask naturally:
- "What did we decide about the pricing strategy?"
- "What do you know about Project Atlas?"
- "What did we discuss last week?"
If your AI doesn't seem to be checking memories, say: "Check your memories first"
Fixing Wrong Information
- "Update memory: I said Sarah handles legal, but actually it's John"
- "Correction - we're NOT focusing on enterprise anymore. Please update."
Connecting Ideas
Usually automatic, but you can be explicit:
- "Connect this decision to our discussion about customer feedback"
- "This contradicts what we thought before - link them"
Project Checkpoints
Save: "Save a checkpoint for Project Alpha - include everything we discussed" Resume: "Restore the checkpoint for Project Alpha"
Artifacts (File Storage)
- "Save this as my standard PR template artifact"
- "Get my PR template artifact"
- "List my saved artifacts"
Exploring Connections
- "Explore connections related to our Q3 strategy"
- "Show me what's connected to Project Atlas"
Key Principles
- Be specific - Include context and reasoning, not just facts
- Correct mistakes immediately - "Update memory: the correct info is..."
- Quality over quantity - Store what matters next week/month/year
Learn More
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 · 72 lines · 7 tokens per session scan A 1a613df12bcb
help is a command published in the GitHub repository penfieldlabs/claude-penfield (2 stars, last pushed 6mo ago), licensed MIT. It adds 7 tokens to every session and 470 once invoked, about $0.0000 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 commands, from other repositories
pane
Open the Engram graph pane — make sure the machine core is running and share the URL.
save
Manually save current context as a memo to the memex vault.
digest
Digest this project into Engram — an explicit, one-time ingestion of the current working tree into typed memory nodes.
status
Show memex statistics and status including projects, memos, and pending items.
memory-import
Import a conversation export from ChatGPT, Claude, Gemini, Copilot, or Perplexity.
memory-learn
Save a learning, insight, pattern, mistake, or decision to StudioMeyer Memory.