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 octavehq/lfgtm --skill librarygit clone --depth 1 https://github.com/octavehq/lfgtmWrote 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/octavehq/lfgtm/library)<a href="https://agentmods.dev/skills/octavehq/lfgtm/library"><img src="https://agentmods.dev/badge/skills/octavehq/lfgtm/library/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/octavehq/lfgtm/library"><img src="https://agentmods.dev/badge/skills/octavehq/lfgtm/library.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00090 | $0.05503 |
| Opus 5 | $0.00045 | $0.02752 |
| Sonnet 5 | $0.00018 | $0.01101 |
| Haiku 4.5 | $0.00009 | $0.00550 |
Grade A, and why
library 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 10d 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 — 586 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/octave:library - Library Management
Browse, search, create, and update Octave library entities.
Principles
Follow these standards during generation. Read each before producing output.
- Editorial rules — no AI-isms, banned vocabulary, honest analyst tone
- Presentation principles — use for any visual output (HTML, dashboards, tables); text follows the editorial rules above
- Octave value — prioritize grounded workspace data over generic AI content
Trigger
User runs /octave:library with subcommands:
/octave:library list <type>- List entities of a type/octave:library search <query>- Semantic search across library/octave:library show <oId>- Show full entity details/octave:library create <type> "<name>"- Create new entity/octave:library update <oId>- Update existing entity/octave:library history [<oId>]- Browse revision history across the library or for a single entity
Or natural language like:
- "Show me all personas"
- "What Motions do we have?" (or, for legacy workspaces, "What playbooks do we have?")
- "Create a new persona for CTOs"
- "Update the enterprise segment"
Instructions
Entity Type Mapping:
# Library entities
personas: { prefix: pe_ }
products: { prefix: px_ }
services: { prefix: sc_ } # Service - own table, own prefix
segments: { prefix: sg_ }
use-cases: { prefix: uu_ }
competitors: { prefix: cp_ }
proof-points: { prefix: pp_ }
references: { prefix: re_ }
brand-voices: { prefix: bv_ }
writing-styles: { prefix: ws_ }
# Motions and Motion Playbooks (Motion era)
motions: { prefix: mot_ } # Motion
motion-playbooks:{ prefix: mpb_ } # Motion Playbook (Default + Custom)
motion-icps: { prefix: micp_ } # Motion ICP cells (persona × segment narratives)
# Other common oId prefixes
agents: { prefix: ca_ } # ContentAgent - all agent types
workspaces: { prefix: wa_ } # Workspace
organizations: { prefix: og_ } # Organization
# Legacy (deprecated, still readable for back-compat)
# Note: `playbooks` is the legacy standalone Playbook entity type.
# Motions / Motion Playbooks / Motion ICPs (above) are the modern primitives — prefer them for any new work.
playbooks: { prefix: pb_ }
value-props: { prefix: hy_ }
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.
- 10d ago First seen · 586 lines · 90 tokens per session scan A 976937245b2f
library is a skill published in the GitHub repository octavehq/lfgtm (11 stars, last pushed 19d ago), licensed MIT. It adds 90 tokens to every session and 5,503 once invoked, about $0.0005 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.
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