A daily reading digest that gathers newsletters and Telegram posts, filters routine items, and selects a small set of surprising findings. Telegram is a messaging service with public and private channels.

Use it to collect, enrich, filter, score, and append notable reading items to a daily note.

It reduces the time spent sorting newsletters and channel posts for information worth investigating.

wow-digest — Skill for Claude Code and Codex by glebis

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 glebis/claude-skills --skill wow-digest

Clone the repo

git clone --depth 1 https://github.com/glebis/claude-skills

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/glebis/claude-skills/wow-digest/github.svg)](https://agentmods.dev/skills/glebis/claude-skills/wow-digest)

Your own site

<a href="https://agentmods.dev/skills/glebis/claude-skills/wow-digest"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/wow-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/glebis/claude-skills/wow-digest"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/wow-digest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,243 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: 1 finding, 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 114
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.

Model	Per session	Once invoked
Fable 5.1	$0.00070	$0.01243
Opus 5	$0.00035	$0.00622
Sonnet 5	$0.00014	$0.00249
Haiku 4.5	$0.00007	$0.00124

Measured 8d ago against content hash 678709d9c515, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

wow-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 8d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/enrich.py, scripts/feedback.py, scripts/ingest.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

wow-digest/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

wow-digest

Purpose

Pull last 24h of newsletters (email) and Telegram channel posts, filter noise, score survivors for genuine surprise against the user's focus and recent research, and append 3-7 WOW items to today's daily note.

Workflow

Run scripts/ingest.py to pull and normalize candidates from all sources
Run scripts/enrich.py to fetch full content for link-only newsletters (LinkedIn, beehiiv, Substack)
Run scripts/salience_filter.py to drop obvious noise (marketing, payments, greetings)
Run scripts/wow_score.py on filtered candidates to score and select WOW items
Append selected items to today's daily note under ## Reading
Save raw candidates to .wow-eval/candidates/YYYYMMDD.jsonl for replay
Archive processed newsletter emails via GWS
During eval phase: run scripts/feedback.py to collect human verdicts

Manual run

python3 scripts/ingest.py --days 1 --output /tmp/wow-candidates.jsonl
python3 scripts/enrich.py --input /tmp/wow-candidates.jsonl --output /tmp/wow-enriched.jsonl
python3 scripts/salience_filter.py --input /tmp/wow-enriched.jsonl --output /tmp/wow-filtered.jsonl
python3 scripts/wow_score.py --input /tmp/wow-filtered.jsonl --output /tmp/wow-selected.json
# Then the skill appends to daily note and archives emails

Dry-Run Mode

When the user says /wow-digest --dry-run or "preview the digest", run the full pipeline but:

Do NOT append to daily note
Do NOT archive emails
Instead, print the selected items with scores and hooks directly in the conversation

This lets the user preview what would be appended without side effects.

Context Sourcing

The scoring prompt uses three context signals from the vault (~/Brains/brain/):

{focus} — From My Focus.md, sections ## Current, ## Base, ## Primary (stops at ## Nice to have). This tells the scorer what the user cares about right now.
{research} — From ai-research/*.md files (last 30 days), parsed from filenames (YYYYMMDD-topic.md) and research_topic: frontmatter. Shows what the user has already investigated.
{recent_topics} — From Daily/YYYYMMDD.md headings (last 7 days), excluding ## do and ## log. Shows recent daily note themes.

Read the full file on GitHub · 115 lines

Files

What ships with it

8 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.

8d ago First seen · 115 lines · 70 tokens per session scan A 678709d9c515

Subscribe to this mod's changes

wow-digest is a skill published in the GitHub repository glebis/claude-skills (375 stars, last pushed 10d ago), licensed MIT. It adds 70 tokens to every session and 1,243 once invoked, about $0.0003 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 2026-09-03.

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wow-digest

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

wow-digest

Purpose

Workflow

Manual run

Dry-Run Mode

Context Sourcing

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

orbit-notion

agentmail

Cortex

pinchtab-mcp

feishu

peekaboo