Agent skill

Overview

by Fergana-Labs in Fergana-Labs/stash

Chart what's in the library — topics, sources, saves over time — and say what the shape means.

MITAuto-check passedKnowledge Management

Install Overview

skills CLI
$ npx skills add Fergana-Labs/stash --skill overview -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Fergana-Labs/stash overview --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Fergana-Labs/stash.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/skills/overview .claude/skills/overview && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
overview
GitHub stars
335
Token cost
~563 tokens
SKILL.md length
337 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Chart what's in the library — topics, sources, saves over time — and say what the shape means.

  • Works in 4 steps: Saves over time — by week or month.… → Topics by volume — horizontal bars,… → Sources — top domains. Answers "where… → …
  • Knowledge Management work in your project
  • SKILL.md covers Get the data, The four that earn their place, Say what it means and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Overview is an agent skill from Fergana-Labs/stash. Chart what's in the library — topics, sources, saves over time — and say what the shape means.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Knowledge Management. The repository describes itself as: Open-source infrastructure for agents that learn from experience. Capture production traces and turn lessons into reusable knowledge and skills. The licence is MIT.

When your agent uses it

  • Knowledge Management work in your project

Example prompts

  • “/overview”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Saves over time — by week or month. Answers "am I still using this?"
  2. Topics by volume — horizontal bars, biggest first. Answers "what am I
  3. Sources — top domains. Answers "where does my reading come from?"
  4. Topic over time — the top few topics as lines. Answers "what am I

What it can do on your machine

Read from SKILL.md and the folder at commit 439902c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Overview loads about 563 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 337 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~563

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Fergana-Labs/stash at commit 439902c, republished under its MIT licence (© Fergana-Labs). 337 words, ~563 tokens.

Download SKILL.mdSave it as .claude/skills/overview/SKILL.md (or your agent's skills folder).
name
overview
description
Chart what's in the library — topics, sources, saves over time — and say what the shape means.
when_to_use
When the user asks for an overview of their saves, what they've been reading about, a breakdown by topic, or charts of their library.
version
1

Overview of a saved library

A chart on its own is decoration. Every chart here answers a question the user would otherwise have to ask, and you say the answer in words next to it.

Get the data

From the Bookmarks table via query_table. You need the whole table, not a page — read total from the first call and page with offset until you have it. Counting 100 of 4,000 saves and calling it a distribution is worse than not charting at all.

Columns you'll use: Saved (ISO date), Topics (array), Site, Type, Status.

The four that earn their place

  1. Saves over time — by week or month. Answers "am I still using this?" and shows bursts, which usually map to a project.
  2. Topics by volume — horizontal bars, biggest first. Answers "what am I actually collecting?" Cap at the top 12 and group the tail as "other"; a bar chart with 60 labels communicates nothing.
  3. Sources — top domains. Answers "where does my reading come from?" Often uncomfortable and therefore useful.
  4. Topic over time — the top few topics as lines. Answers "what am I moving toward, and what have I dropped?"

Skip any chart the data can't support. Fewer than ~20 saves, or fewer than three distinct topics, means the honest output is a sentence, not a chart.

Say what it means

Under each chart, one or two sentences of what it shows — the actual reading, not a caption. "Two thirds of your saves are from three domains" is worth writing. "This chart shows saves by domain" is not.

Close with what stands out across all four: a topic that stopped, a source that dominates, a burst that maps to something they were building.

Rules

  • Charts follow the repo's dataviz conventions. Render as an HTML page in the user's stash so they can keep it.
  • Label axes and units. Never a pie chart with more than five slices.
  • Say the corpus size and date range you charted, so the reader knows what they're looking at.

© Fergana-Labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in docs/skills/overview of Fergana-Labs/stash.

Open the folder on GitHubat commit 439902c

Compare with similar skills

Overview next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Overview compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Overview this skillFergana-Labs/stash335—~563Automated safety check: PassMIT
Ontology1mancompany/OneManCompany4402 repos~1.5kAutomated safety check: PassApache-2.0
Open Knowledge Write Skillinkeep/open-knowledge4.4k—~3.7kAutomated safety check: PassGPL-3.0
Auditpricklywiggles/niamos192—~1.4kAutomated safety check: PassNone
Joplinalondmnt/joplin-mcp172—~897Automated safety check: PassMIT
Guideline Writingalfadur7/llm-wiki-newsroom170—~2.4kAutomated safety check: PassMIT

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  • Ontology

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Questions about Overview

What does Overview do?

Chart what's in the library — topics, sources, saves over time — and say what the shape means. Overview is an agent skill from Fergana-Labs/stash. Chart what's in the library — topics, sources, saves over time — and say what the shape means.

When should I use Overview?

Overview fits situations like: knowledge Management work in your project.

How do I install Overview in Claude Code?

Run `npx skills add Fergana-Labs/stash --skill overview -a claude-code`. Or copy the skill folder (docs/skills/overview in Fergana-Labs/stash) into .claude/skills/overview in your project. Claude Code loads it when a task matches its description.

How do I install Overview in Codex?

Run `npx skills add Fergana-Labs/stash --skill overview -a codex`. Or copy the skill folder (docs/skills/overview in Fergana-Labs/stash) into .agents/skills/overview in your project. Codex loads it when a task matches its description.

Can I use Overview in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Fergana-Labs/stash --skill overview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/overview, .gemini/skills/overview, .github/skills/overview and .opencode/skills/overview in your project.

What does Overview need to run?

SKILL.md names no scripts, command-line tools or credentials: Overview is instructions for the agent only.

Does Overview access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Overview safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Overview use?

Overview is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Overview use?

About 563 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Overview?

Skills that share tags, products or a category with Overview: Ontology (1mancompany/OneManCompany, 440 stars), Open Knowledge Write Skill (inkeep/open-knowledge, 4.4k stars), Audit (pricklywiggles/niamos, 192 stars) and Joplin (alondmnt/joplin-mcp, 172 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Overview?

Fergana-Labs (a GitHub organization) maintains it in Fergana-Labs/stash, which has 335 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 8, 2026.

Source: Fergana-Labs/stash on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.