Agent skill

Kolo

Kolo is a text-based Python debugger that captures every executed function, return value, local variable, HTTP request, and SQL query into greppable trace files.

No licenceAuto-check passedDatabases

Install Kolo

skills CLI

$ npx skills add koloai/kolo --skill kolo -a claude-code

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

GitHub CLI

$ gh skill install koloai/kolo kolo --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/koloai/kolo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kolo .claude/skills/kolo && 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/

Paste into Claude Code

Install the "kolo" agent skill from https://github.com/koloai/kolo/tree/main/skills/kolo into .claude/skills/kolo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kolo", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/koloai/kolo/tree/main/skills/kolo

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add koloai/kolo --skill kolo -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install koloai/kolo kolo --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/koloai/kolo.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/kolo .agents/skills/kolo && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "kolo" agent skill from https://github.com/koloai/kolo/tree/main/skills/kolo into .agents/skills/kolo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kolo", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add koloai/kolo --skill kolo -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install koloai/kolo kolo --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/koloai/kolo.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/kolo .cursor/skills/kolo && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "kolo" agent skill from https://github.com/koloai/kolo/tree/main/skills/kolo into .cursor/skills/kolo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kolo", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/koloai/kolo.git --path skills/kolo

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add koloai/kolo --skill kolo -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install koloai/kolo kolo --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/koloai/kolo.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/kolo .gemini/skills/kolo && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "kolo" agent skill from https://github.com/koloai/kolo/tree/main/skills/kolo into .gemini/skills/kolo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kolo", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install koloai/kolo kolo

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add koloai/kolo --skill kolo -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/koloai/kolo.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/kolo .github/skills/kolo && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "kolo" agent skill from https://github.com/koloai/kolo/tree/main/skills/kolo into .github/skills/kolo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kolo", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add koloai/kolo --skill kolo -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install koloai/kolo kolo --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/koloai/kolo.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/kolo .opencode/skills/kolo && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "kolo" agent skill from https://github.com/koloai/kolo/tree/main/skills/kolo into .opencode/skills/kolo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kolo", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: kolo
GitHub stars: 525
Token cost: ~1.2k tokens
SKILL.md length: 628 words
Files: 1
Skills in repo: 1
Repo updated: Apr 17, 2026
First seen: Oct 7, 2026
Licence: None found

At a glance

Kolo is a text-based Python debugger that captures every executed function, return value, local variable, HTTP request, and SQL query into greppable trace files.

Works in 3 steps: Execute code with Kolo activated (KOLO=1) → Grep the trace data kolo emits in… → Make desired code changes, then re-run…
Tricky debugging challenges
SKILL.md covers The core workflow, Installing Kolo, Enabling Kolo and Using Kolo, plus 2 more sections
Calls pip

What it does

Kolo is an agent skill from koloai/kolo. Kolo is a text-based Python debugger that captures every executed function, return value, local variable, HTTP request, and SQL query into greppable trace files. Use this skill for tricky debugging challenges, to verify that code behaves as expected at runtime, and to see the real data and values passing through the code. Use it to see the real data returned by sql queries or the real http data sent and received. Use it when the user reports something is not working, but you're not sure why - even if the user…

Its SKILL.md is about 1.2k 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 Databases, covering SQL. It works with SQL, Python and Django. The repository describes itself as: Kolo is a text-based Python debugger for AI agents. Capture every executed function call, return value, local variable, HTTP request, and more in greppable trace files.

When your agent uses it

Tricky debugging challenges
Verify that code behaves as expected at runtime
To see the real data and values passing through the code
See the real data returned by sql queries

Example prompts

“re not sure why - even if the user doesn”
“debugging”
“/kolo”

Requirements

Python 3

Workflow steps

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

Execute code with Kolo activated (KOLO=1)
Grep the trace data kolo emits in .kolo/traces — search for a function name, URL fragment, SQL table, or error string, then read the…
Make desired code changes, then re-run (back to step 1)

What it can do on your machine

Read from SKILL.md and the folder at commit bb387ed. 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
Shell commands in SKILL.md call:
- pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- docs.kolo.app
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

Kolo loads about 1.2k tokens when it runs. Until then it costs about 142 tokens; SKILL.md has 628 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~142
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 628 words (~1,232 tokens).

“Use the kolo cli to view trace data.”

— opening of SKILL.md by koloai

name: kolo

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/kolo of koloai/kolo.

Open the folder on GitHubat commit bb387ed

Compare with similar skills

Kolo 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.

Kolo compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Kolo this skillkoloai/kolo	525	—	~1.2k	Automated safety check: Pass	None	5 mo ago
Django Filter Benchmarksaleor/saleor	23k	—	~2.3k	Automated safety check: Pass	BSD-3-Clause	today
Chdb SQLvemetric/vemetric	395	1 repos	~1.2k	Automated safety check: Pass	Apache-2.0	today
SQL Schema Policy Validatorrominirani/antigravity-skills	592	—	~264	Automated safety check: Pass	None	3 mo ago
Modelersidequery/sidemantic	129	—	~4.2k	Automated safety check: Pass	Apache-2.0	2 days ago
Analysis Artifactswarpdotdev/oz-skills	825	—	~1.1k	Automated safety check: Pass	MIT	1 mo ago

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Works with

Questions about Kolo

What does Kolo do?

Kolo is a text-based Python debugger that captures every executed function, return value, local variable, HTTP request, and SQL query into greppable trace files. Kolo is an agent skill from koloai/kolo. Kolo is a text-based Python debugger that captures every executed function, return value, local variable, HTTP request, and SQL query into greppable trace files.

When should I use Kolo?

Kolo fits situations like: tricky debugging challenges; verify that code behaves as expected at runtime; to see the real data and values passing through the code; see the real data returned by sql queries.

How do I install Kolo in Claude Code?

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

How do I install Kolo in Codex?

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

Can I use Kolo 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 koloai/kolo --skill kolo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kolo, .gemini/skills/kolo, .github/skills/kolo and .opencode/skills/kolo in your project.

What does Kolo need to run?

Going by SKILL.md and its folder, Kolo needs the command-line tools its instructions call (pip). Our summary lists: Python 3.

Does Kolo access the network?

SKILL.md names 1 domain. As links in the text: docs.kolo.app. This is read from the text; nothing was executed.

Is Kolo 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 Kolo use?

No licence was found for Kolo or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Kolo use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Kolo?

Skills that share tags, products or a category with Kolo: Django Filter Benchmark (saleor/saleor, 23k stars), Chdb SQL (vemetric/vemetric, 395 stars), SQL Schema Policy Validator (rominirani/antigravity-skills, 592 stars) and Modeler (sidequery/sidemantic, 129 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Kolo?

koloai (a GitHub organization) maintains it in koloai/kolo, which has 525 GitHub stars. The repository was last updated on April 17, 2026.

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

Install Kolo

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

Django Filter Benchmark

Chdb SQL

SQL Schema Policy Validator

Modeler

Analysis Artifacts

Ravendb

Related

Questions about Kolo