digest

digest is a skill for Claude Code from octavehq/lfgtm. It costs 71 tokens per session (4,221 once invoked), scanned A, original, MIT.

A report-to-digest tool that turns one or more go-to-market research reports into a branded, shareable recap. It supports different insight scopes, evidence levels, and output formats.

In plain words
What is it for?
Use it to create insight recaps, executive briefs, magazine-style stories, report decks, or recurring digests from completed reports.
Why use it?
It combines separate reports into one editorial asset, reducing the work of preparing a weekly, monthly, or executive summary. It can also support recurring versions after a configuration is approved.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the octave plugin — 29 skills, 7 agents shipped together

Good fit Use it to create insight recaps, executive briefs, magazine-style stories, report decks, or recurring digests from completed reports.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/octavehq/lfgtm/digest
Install

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.

Any agent
npx skills add octavehq/lfgtm --skill digest
Clone the repo
git clone --depth 1 https://github.com/octavehq/lfgtm

Made for: Claude Code.

Or install octave, the plugin that ships this one along with the rest of its 29 skills, 7 agents.

Wrote 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.

agentmods badge for digest

README.md
[![agentmods](https://agentmods.dev/badge/skills/octavehq/lfgtm/digest/github.svg)](https://agentmods.dev/skills/octavehq/lfgtm/digest)
Your own site
<a href="https://agentmods.dev/skills/octavehq/lfgtm/digest"><img src="https://agentmods.dev/badge/skills/octavehq/lfgtm/digest/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.

agentmods 80×15 button for digest

Your own site · 80×15
<a href="https://agentmods.dev/skills/octavehq/lfgtm/digest"><img src="https://agentmods.dev/badge/skills/octavehq/lfgtm/digest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,221 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 8
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 42
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.04221
Opus 5 $0.00036 $0.02110
Sonnet 5 $0.00014 $0.00844
Haiku 4.5 $0.00007 $0.00422

Measured 10d ago against content hash e9e499cbb326, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

digest 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.

skills/digest/SKILL.md · 308 lines

How it starts

The opening of the file, as written. The whole thing — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/octave:digest - GTM Insight Digest

Turn completed Octave reports into one coherent editorial asset. On an interactive first run, ask the user what to include, what to call the digest, how much evidence to hydrate, how it should render, whether to publish it, and whether to repeat the workflow. On a scheduled run, reuse the approved named configuration without asking the same questions again.

Principles

Read before generating:

The editorial rules apply to titles and headings, not just body copy. Every chapter, section, and spread title must state its finding as an intelligible sentence, or, if it is a short label, be clearly decipherable on its own. A vague evocative fragment that could sit on any report ("The Pressure," "The New Owner," "The Wall") does not pass: lead with the claim it stands in for. State the finding plainly. A dramatic reversal or clever turn ("we won X and inherited Y," "we won the argument and lost the war") fails on the opposite end, reading as performative even when the underlying finding is real. The editorial review must audit titles the same way it audits prose.

Write like a dispatch, not an inside joke. Frame every finding for a reader who was not on the calls and does not yet share the context. State plainly what happened, to whom, and why it matters before layering in the clever turn. An elliptical, knowing line that assumes shared context ("Buyers stopped asking why and started handing our own framing back to us," "the conversation moved") is a failure even when it is literally true: the reader has to reverse-engineer what it means. A real magazine sets the scene, then delivers the point. Prefer the sentence a smart colleague who missed the week would understand on first read over the one that sounds knowing to someone who was there.

Read the full file on GitHub · 308 lines

Files

What ships with it

2 files 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.

Changes

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.

  1. 10d ago First seen · 308 lines · 71 tokens per session scan A e9e499cbb326

Subscribe to this mod's changes

digest is a skill published in the GitHub repository octavehq/lfgtm (11 stars, last pushed 20d ago), licensed MIT. It adds 71 tokens to every session and 4,221 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.

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