Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Find and play music/videos via youtubesearch + browsernavigate
$ npx skills add taracodlabs/aiden --skill media-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install taracodlabs/aiden media-search --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/taracodlabs/aiden.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/media-search .claude/skills/media-search && rm -rf skills-srcUse ~/.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/
Install the "media-search" agent skill from https://github.com/taracodlabs/aiden/tree/main/skills/media-search into .claude/skills/media-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-search", 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 install https://github.com/taracodlabs/aiden/tree/main/skills/media-searchType 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.
$ npx skills add taracodlabs/aiden --skill media-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install taracodlabs/aiden media-search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/taracodlabs/aiden.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/media-search .agents/skills/media-search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "media-search" agent skill from https://github.com/taracodlabs/aiden/tree/main/skills/media-search into .agents/skills/media-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-search", 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.
$ npx skills add taracodlabs/aiden --skill media-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install taracodlabs/aiden media-search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/taracodlabs/aiden.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/media-search .cursor/skills/media-search && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "media-search" agent skill from https://github.com/taracodlabs/aiden/tree/main/skills/media-search into .cursor/skills/media-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-search", 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 https://github.com/taracodlabs/aiden.git --path skills/media-search--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add taracodlabs/aiden --skill media-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install taracodlabs/aiden media-search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/taracodlabs/aiden.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/media-search .gemini/skills/media-search && rm -rf skills-srcUse ~/.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/
Install the "media-search" agent skill from https://github.com/taracodlabs/aiden/tree/main/skills/media-search into .gemini/skills/media-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-search", 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.
$ gh skill install taracodlabs/aiden media-searchInstalls 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).
$ npx skills add taracodlabs/aiden --skill media-search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/taracodlabs/aiden.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/media-search .github/skills/media-search && rm -rf skills-srcUse ~/.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/
Install the "media-search" agent skill from https://github.com/taracodlabs/aiden/tree/main/skills/media-search into .github/skills/media-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-search", 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.
$ npx skills add taracodlabs/aiden --skill media-search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install taracodlabs/aiden media-search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/taracodlabs/aiden.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/media-search .opencode/skills/media-search && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "media-search" agent skill from https://github.com/taracodlabs/aiden/tree/main/skills/media-search into .opencode/skills/media-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "media-search", 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.
media-searchFind and play music/videos via youtubesearch + browsernavigate
Media Search is an agent skill from taracodlabs/aiden. Find and play music/videos via youtubesearch + browsernavigate
Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with YouTube. The repository describes itself as: Aiden — an autonomous AI agent and work engine built solo. It can operate your browser, terminal, files, apps, APIs, skills and tools, remember context, recover from failures… The licence is Apache-2.0.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3704204. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
youtube.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Media Search loads about 4.4k tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 2,439 words of instructions outside code blocks.
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.
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.
The full file from taracodlabs/aiden at commit 3704204, republished under its Apache-2.0 licence (© taracodlabs). 2,439 words, ~4,383 tokens.
.claude/skills/media-search/SKILL.md (or your agent's skills folder).Resolve "play X" / "listen to X" / "find me a song" requests by chaining
web_search (optional, for fuzzy intent) → youtube_search (REQUIRED,
returns real watch URLs) → browser_navigate (REQUIRED, must use a URL that
came back from youtube_search). Keep navigation, interaction and Evidence
inside the owned Browser Session. Navigation alone does not prove playback.
<execute_action>
The user's request authorizes the requested media action, subject to the
runtime's approval and browser policy. Use the actual available controlled
browser tools. External open_url launching is unavailable inside durable
Jobs and is not a recovery path.
After navigation, inspect the player. If playback has not started, use the observed play control through an admitted browser action. Verify observable player state (for example paused=false and advancing currentTime, when supported) before claiming playback. A screenshot or loaded watch URL alone does not establish that audio is playing.
Do not bypass approval, login, CAPTCHA, browser policy, or autoplay restrictions. If a supported action or verification is unavailable, report that exact limitation. Never claim success from an attempted action. </execute_action>
<selection_rule>
How strict you should be about picking a candidate from
youtube_search depends on how specific the user's query is.
VAGUE query — no specific song or artist named. Examples: "play me a popular song", "play me a hindi song", "play something upbeat", "put on some jazz", "play a sad song".
→ Walk the youtube_search candidates top-down and pick
the first one whose title does NOT match any of the
anti-patterns below. That is the answer. Do not score
candidates further; do not look for "the most official one";
do not compare view counts. The first non-anti-pattern wins.
Anti-pattern keywords (match case-insensitively against
title):
#shorts format)Why this matters: vague queries on YouTube often surface reaction clips or lyric videos near the top because they pull engagement. The user said "play a popular song" — they want to hear the song, not someone reacting to it. The anti-pattern filter is what keeps the vague rule from opening "the way they know every word! 🧡" instead of the actual track.
If every candidate in the top 5 matches at least one anti-pattern, that is a legitimate fallback: take the honest-fallback path (results page).
SPECIFIC query — the user named a song or artist. Examples: "play Bohemian Rhapsody", "play Despacito", "play Tum Hi Ho", "play Sabrina Carpenter".
→ Require a substring match between the candidate's title
field and either the song title (preferred) or the artist
name (acceptable when artist-only was given). Pick the
highest-ranked candidate that matches. Then open. Do not
keep looking once a match is found — the top match is the
answer.
Honest fallback (youtube.com/results) is for one situation
only: youtube_search returned zero candidates, OR every
candidate is structurally wrong (channel page only, livestream
when the user wanted a song). It is NOT for "results exist but
they don't feel polished enough." If youtube_search returned a
list and you can't pick one, the rule above failed — re-read it.
</selection_rule>
Every successful run of this skill calls these tools, in order:
web_search — OPTIONAL pass 1: identify the specific song
title + artist. Skip this when the user already named a song.youtube_search — REQUIRED pass 2: get real /watch?v= URLs
for that specific song. Query: <title> <artist> official audio.browser_navigate — exactly once, with a URL that came back from
youtube_search (verbatim — copy the url field from the tool
result, do not retype it from memory).Then inspect playback through supported browser tools and retain action Evidence before reporting. Searches alone do not fulfill a playback request. The required search/navigation sequence does not replace runtime approval or verification. Copy real result URLs; never invent video IDs.
Anti-patterns the planner sometimes drifts into — do NOT do these:
/watch?v=ID URL from memory or prose. The 11
characters after v= are NEVER something you type — they are
always copied verbatim from a youtube_search result. The
provenance gate exists precisely because the model has been
caught inventing IDs. Don't.youtube_search. web_search returns prose snippets
and articles ABOUT songs, not autoplay-friendly URLs.
youtube_search is the only tool whose results clear the
provenance gate.media-search skill mid-run after the
searches returned. The skill is already loaded; re-viewing
wastes a turn and signals a hung agent. Run youtube_search,
then browser_navigate.browser_navigate.youtube_search result whose title does not
contain the song you committed to. Artist-only match is not
enough; "Alex Warren live stream" is not "Alex Warren — Ordinary."The user's request matches any of these patterns:
If the user says "open spotify" or "open youtube" without a specific
piece, that's an browser_navigate direct call — not this skill.
The goal of pass 1 is to commit to a specific <title> and
<artist> before you pick any URL. Build the query from what the
user actually said:
| User said | Pass-1 query |
|---|---|
| "play me a popular song" | Billboard Hot 100 #1 this week |
| "play me something upbeat" | top upbeat pop songs 2026 |
| "play me a sad song" | top ballads 2026 spotify |
| "play me kendrick lamar" | kendrick lamar most popular song 2025 |
| "play me a hindi song" | bollywood top hindi songs this week |
| "play me jazz" | jazz standards essential listening |
| "play Despacito" | (skip pass 1 — title already given) |
| "play Bohemian Rhapsody" | (skip pass 1 — title already given) |
After pass 1, announce your commitment in your reasoning (this is
NOT yet shown to the user — that comes after browser_navigate):
Picked:
<title>by<artist>(reason: e.g. "currently #1 on Billboard Hot 100").
If the user already named a specific song, pass 1 is unnecessary — the title and artist are already given. Skip directly to pass 2.
youtube_search)Call youtube_search with a query of the form:
"<title>" <artist> official audioWrap the title in double quotes. youtube_search hits the public
YouTube results page, parses real /watch?v= URLs out of the
response, and returns a list of { videoId, url, title, channel, durationText? } objects. The URLs in that list are the only URLs
you may use for the chosen video. Preserve existing URL provenance checks;
do not invent or reconstruct a watch URL.
URL-selection rules (apply in order to the youtube_search
results, not to web_search snippets):
title field MUST explicitly contain the song
title you committed to in pass 1. Artist-only mention is not
enough. If the title doesn't name the song, skip it.title contains "Official Audio",
"Official Music Video", "Official Video", or "Official Lyric
Video". These are usually the artist's verified upload.title contains any of: "live stream",
"LIVE", "24/7", "lyric video" (unless specifically requested),
"cover", "covered by", "reaction", "react to", "best of",
"compilation", "mashup", "remix" (unless specifically requested),
"hour" (e.g. "1 hour version"), "loop". These don't match what
the user asked for.Call browser_navigate with the chosen result's URL: copy the url field
verbatim. Inspect the resulting page with supported browser tools and operate
the actual play control if needed. Reuse the same owned session and tab;
do not launch duplicate tabs just because the player is slow.
Observe playback state after the action. If playback cannot be verified, report navigation as navigation and playback as unverified. Do not invent a successful play receipt or assume autoplay.
Report the chosen title, URL, observed action and any limitation. Say "playing" only when playback was observed; otherwise say "opened" and explain what remains blocked or unverified. Keep Evidence linked to the actual action.
For fuzzy intent, briefly explain the selection. Do not present selection, navigation, or a user-facing browser window as proof that playback succeeded.
If pass 2 returns no result that satisfies all the URL-selection rules above, the fallback executes in the same turn — it is not something you offer to the user.
browser_navigate to
https://www.youtube.com/results?search_query=<title>+<artist>
(URL-encoded). Same turn. No "want me to?" question. No "let
me know if".browser_navigate fires, report what executed:Couldn't find a verified official upload for
<title>by<artist>. Openedyoutube.com/results?search_query=<title>+<artist>— autoplay doesn't fire on results pages, so pick a tile to start playback.
Do NOT claim "now playing" — that would be the same fabrication Phase 23.1 was built to catch. Do NOT ask "should I open the search page?" — that's the offer-style anti-pattern Phase 23.3 specifically forbids.
User prompt: "play me a popular song"
The <selection_rule> block says: vague query → walk
youtube_search candidates top-down, skip anti-patterns, take
the first clean one. No officialness scoring beyond that.
Expected flow:
Aiden may run an optional web_search to commit to a current
chart-topper (e.g. "Opalite" by Taylor Swift). This is for
query construction, not for filtering YouTube results.
Aiden runs: youtube_search("Opalite Taylor Swift") →
returns 5 candidates:
{ title: "the way they know every word! 🧡 Opalite by Taylor Swift", channel: "Krystal" } — title contains "they know every word" → anti-pattern match, skip.{ title: "Taylor Swift - Opalite (Official Audio)", channel: "Taylor Swift" } — no anti-pattern keyword → first clean candidate, pick.Aiden runs: browser_navigate(<candidate 2 .url>) — copy the url
field verbatim, then inspect the player and verify the requested action.
Aiden reports: "Picked: '<title>' from '<channel>'. Opened
<url>."
If every candidate in the top 5 hits an anti-pattern keyword — e.g. all reactions, all lyric videos — that is the legitimate fallback case (Example 5). Do not loosen the anti-pattern filter to force a pick.
User prompt: "play Tum Hi Ho"
The <selection_rule> block says: specific query → require a
title or artist substring match in the candidate before opening.
Expected flow:
web_search.youtube_search("Tum Hi Ho") → list of candidates.title field contains "Tum Hi Ho" (case-insensitive
substring is fine). The highest-ranked match is the answer —
not "the most official-looking one further down the list."browser_navigate(<that result's url, verbatim>).<title>' from '<channel>'. Opened <url>."If the very top result's title contains "Tum Hi Ho", that's the match. Stop looking. Open it.
User prompt: "play Despacito"
Expected flow:
web_search.youtube_search("Despacito Luis Fonsi") → top
result's title contains "Despacito". Match found at rank 1.browser_navigate(<top result.url>).<title>' from '<channel>'. Opened
<url>."User prompt: "play me kendrick lamar"
This is between vague and specific: the artist is named, so "Not Like Us by random tribute act" is wrong, but the song isn't — so the bar is "any candidate whose channel or title is Kendrick Lamar's actual catalog."
Expected flow:
web_search("kendrick lamar most popular song 2025") to commit to a likely song (e.g. "Not Like Us"). This
step is optional but useful for query construction.youtube_search("Kendrick Lamar Not Like Us") →
list of candidates.title or channel names
Kendrick Lamar. Top result usually qualifies.browser_navigate(<that result's url, verbatim>).<title>' from '<channel>'. Opened
<url>."User prompt: "play that lo-fi beats stream"
Expected flow:
web_search("popular lo-fi beats stream 2026") → top
result is "lofi hip hop radio — beats to relax/study to" channel.youtube_search("\"lofi hip hop radio\" Lofi Girl official audio") → top results are channel pages and livestreams. Every
watch URL whose title contains "live" or "24/7" fails reject rulebrowser_navigate("https://www.youtube.com/results?search_query=lofi+hip+hop+radio+Lofi+Girl")
— a search-results page, not proof of playback.browser_navigate more than once per request. If the first
call succeeded, the URL is open in the user's browser. Re-launching
is duplicate noise.youtube_search is required, not optional. Use its real results and
preserve URL provenance checks. Never compose a video ID from memory.web_search (pass 1) is optional, but valuable for fuzzy
intents. It helps you commit to a specific title before
youtube_search. For "play Despacito" you can skip it; for "play
me a popular song" you almost certainly need it.youtube_search.youtube_search result's
title doesn't literally contain the song title you committed to,
that result is not the song you said you'd play. Skip it. If
nothing matches, take the honest fallback.web_search tool (always available — registered at boot)youtube_search tool (always available — registered at boot)© taracodlabs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/media-search of taracodlabs/aiden.
Open the folder on GitHubat commit 3704204
Media Search 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Media Search this skilltaracodlabs/aiden | 852 | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | |
| MarkitdownImCa0/just-laws | 781 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Banner Design Systemnextlevelbuilder/ui-ux-pro-max-skill | 134k | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Agent ReachPanniantong/Agent-Reach | 95k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT | |
| Baoyu URL To Markdownsdyckjq-lab/llm-wiki-skill | 2.5k | 2 repos | ~3.2k | Automated safety check: Pass | None |
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
nextlevelbuilder/ui-ux-pro-max-skill
Walks through designing a banner for social media, ads, a website hero or print, from gathering requirements to building 2 or 3 art-direction options in HTML and CSS.
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
sdyckjq-lab/llm-wiki-skill
Fetch any URL and convert to markdown using Chrome CDP. An agent skill from sdyckjq-lab/llm-wiki-skill.
AgriciDaniel/claude-seo
Pulls real Google data for SEO work: Search Console, PageSpeed Insights, CrUX field data, the Indexing API and GA4 organic traffic, through /seo google commands.
taracodlabs/aiden
Searches Google Flights for prices, schedules and availability through browser automation with URL-based queries, and stops short of booking.
taracodlabs/aiden
Delegates code generation, editing and explanation tasks to the OpenAI Codex CLI, with commands for interactive, auto-edit, question-only and model-specific runs.
taracodlabs/aiden
Searches Google Hotels through the agent-browser tool for prices, ratings, amenities and availability, building a search URL from the location and dates and reporting a results table.
taracodlabs/aiden
Generates dark-themed architecture, component, data-flow and network diagrams as self-contained HTML and SVG files that open in any browser.
taracodlabs/aiden
Aggregates holdings across Zerodha, Upstox and Angel One and normalizes order parameters into one format, with confirmation required before any routing.
taracodlabs/aiden
Searches arXiv by keyword, category, author or paper ID through its public API and downloads PDFs, with no API key needed.
Works with
Find and play music/videos via youtubesearch + browsernavigate. Media Search is an agent skill from taracodlabs/aiden.
Run `npx skills add taracodlabs/aiden --skill media-search -a claude-code`. Or copy the skill folder (skills/media-search in taracodlabs/aiden) into .claude/skills/media-search in your project. Claude Code loads it when a task matches its description.
Run `npx skills add taracodlabs/aiden --skill media-search -a codex`. Or copy the skill folder (skills/media-search in taracodlabs/aiden) into .agents/skills/media-search in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add taracodlabs/aiden --skill media-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/media-search, .gemini/skills/media-search, .github/skills/media-search and .opencode/skills/media-search in your project.
SKILL.md names no scripts, command-line tools or credentials: Media Search is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: youtube.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Media Search is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Media Search: Markitdown (ImCa0/just-laws, 781 stars), Banner Design System (nextlevelbuilder/ui-ux-pro-max-skill, 134k stars), Agent Reach (Panniantong/Agent-Reach, 95k stars) and Last30days (mvanhorn/last30days-skill, 64k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
taracodlabs (a GitHub organization) maintains it in taracodlabs/aiden, which has 852 GitHub stars. The repository holds 63 skills in this directory. The repository was last updated on September 13, 2026.
Source: taracodlabs/aiden on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.