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 TonyCasey/lisa --skill promptgit clone --depth 1 https://github.com/TonyCasey/lisaWrote 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/tonycasey/lisa/prompt)<a href="https://agentmods.dev/skills/tonycasey/lisa/prompt"><img src="https://agentmods.dev/badge/skills/tonycasey/lisa/prompt.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 | $0.00017 | $0.00190 |
| Opus 5 | $0.00009 | $0.00095 |
| Sonnet 5 | $0.00003 | $0.00038 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
prompt 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 8d 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
Purpose
Store every prompt (and optional role/kind) as a memory episode in Graphiti MCP, so agents can recall recent context.
Triggers
- "load prompt", "capture prompt", or any per-prompt hook integration
- Use when you want every prompt stored automatically.
Usage
lisa-prompt add --text "..." [--role user|assistant] [--kind Direction|Decision|Requirement|Observation] [--force]- By default uses
GRAPHITI_ENDPOINTfrom.lisa/.env. Group ID is automatically derived from the project folder path. Falls back tohttp://localhost:8010/mcp/.
Notes
- Adds a fingerprint tag to avoid duplicate prompts unless
--forceis passed. - Output: JSON with status/action.
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.
- 8d ago First seen · 20 lines · 17 tokens per session scan A 95773230bf5a
prompt is a skill published in the GitHub repository TonyCasey/lisa (9 stars, last pushed 6mo ago), licensed MIT. It adds 17 tokens to every session and 190 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 2026-08-31.
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