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 signalsgit 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/signals)<a href="https://agentmods.dev/skills/octavehq/lfgtm/signals"><img src="https://agentmods.dev/badge/skills/octavehq/lfgtm/signals/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/signals"><img src="https://agentmods.dev/badge/skills/octavehq/lfgtm/signals.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 | $0.00078 | $0.02329 |
| Opus 5 | $0.00039 | $0.01164 |
| Sonnet 5 | $0.00016 | $0.00466 |
| Haiku 4.5 | $0.00008 | $0.00233 |
Grade A, and why
signals 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 11d 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 — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/octave:signals - Morning Intelligence Briefing
Your daily command center. Surfaces the deals that moved, objections trending up, competitors appearing, stakeholders going silent, and messaging themes gaining or losing traction — so you know exactly what to work on today.
Principles
Follow these standards during generation. Read each before producing output.
Content and language:
- Editorial rules — no AI-isms, banned vocabulary, honest analyst tone
- Information principles — lead with conclusions, evidence-backed claims, narrative arc
Presentation:
- Presentation principles — use for any visual output (HTML, dashboards, tables); text follows the editorial rules above
Octave data:
- Octave value — prioritize grounded workspace data over generic AI content
Usage
/octave:signals [--period <time-range>] [--focus <area>]
Options
--period <range>- Lookback window (today, 3d, week, 2w — default: week)--focus <area>- Zoom into one section (deals, patterns, pipeline, content)--segment <name>- Filter by segment--motion <name>- Filter by Motion
Examples
/octave:signals # Full morning briefing (last 7 days)
/octave:signals --period today # What happened since yesterday
/octave:signals --period 2w # Broader two-week view
/octave:signals --focus deals # Just the deals that need attention
/octave:signals --focus patterns # Just emerging patterns
Instructions
When the user runs /octave:signals:
Step 1: Gather All Signal Data
Run these queries in parallel to gather the full picture. Use the period option to set date ranges (default: last 7 days).
A. Recent Events (activity stream)
list_events({
filters: { eventTypes: ["CALL_TRANSCRIPT", "EMAIL_SENT", "EMAIL_REPLY_RECEIVED", "DEAL_WON", "DEAL_LOST", "OPPORTUNITY_CREATED"] },
startDate: "<period start>",
endDate: "<today>",
limit: 100
})
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.
- 11d ago First seen · 255 lines · 78 tokens per session scan A bdd0b9db1e98
signals is a skill published in the GitHub repository octavehq/lfgtm (11 stars, last pushed 21d ago), licensed MIT. It adds 78 tokens to every session and 2,329 once invoked, about $0.0004 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…