Agent skill

Media Proxy

by gooseworks-ai in gooseworks-ai/goose-skills

Shared helper that routes ALL paid media generation (FAL image/video, ElevenLabs music) through the GooseWorks proxies so every call bills the Ads agent — never a provider SDK's default host.

MITAuto-check passedMedia & Creative

Install Media Proxy

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill media-proxy -a claude-code

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

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills media-proxy --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/media-proxy .claude/skills/media-proxy && 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
media-proxy
GitHub stars
1.2k
Token cost
~3.3k tokens
SKILL.md length
1,516 words
Files
6 (incl. scripts)
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Shared helper that routes ALL paid media generation (FAL image/video, ElevenLabs music) through the GooseWorks proxies so every call bills the Ads agent — never a provider SDK's default host.

  • Works in 4 steps: The script writes the exact MCP tool… → The agent makes that call through the… → It saves that JSON to save_result_to and… → …
  • Tasks that involve Text to speech and voice
  • SKILL.md covers Crash-resume (never lose /…, Policy rejections are final:…, Use it and Save-as-you-go digest…, plus 3 more sections
  • Runs Python scripts from its folder; calls python3; needs GW_MEDIA_PROXY_TOKEN

What it does

Media Proxy is an agent skill from gooseworks-ai/goose-skills. Shared helper that routes ALL paid media generation (FAL image/video, ElevenLabs music) through the GooseWorks proxies so every call bills the Ads agent — never a provider SDK's default host. Host-swaps the FAL queue URLs, loads the agent token from the sandbox env (GWMEDIAPROXYTOKEN) or ~/.gooseworks/credentials.json, and returns the result CDN URL. Every video-ad media capability imports this; templates never call a provider directly.

Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `scripts/media_proxy.py`, `scripts/resume.py` and `skill.meta.json`).

It sits in Media & Creative, covering Text to speech and voice and Paid advertising. It works with ElevenLabs. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • Tasks that involve Text to speech and voice
  • Tasks that involve Paid advertising

Example prompts

  • “/media-proxy”

Requirements

  • Python 3
  • A credential in GW_MEDIA_PROXY_TOKEN

Workflow steps

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

  1. The script writes the exact MCP tool call to working/mcp-requests/-.json
  2. The agent makes that call through the connector
  3. It saves that JSON to save_result_to and re-runs the same command. The script finds
  4. If data_post returns a provider_validation_failed error, or job_get

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. 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

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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 these keys or tokens, usually read from environment variables:

    • GW_MEDIA_PROXY_TOKEN

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

Context cost

Media Proxy loads about 3.3k tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 1,516 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~3.3k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 1,516 words, ~3,309 tokens.

Download SKILL.mdSave it as .claude/skills/media-proxy/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
media-proxy
description
Shared helper that routes ALL paid media generation (FAL image/video, ElevenLabs music) through the GooseWorks proxies so every call bills the Ads agent — never a provider SDK's default host. Host-swaps the FAL queue URLs, loads the agent token from the sandbox env (GW_MEDIA_PROXY_TOKEN) or ~/.gooseworks/credentials.json, and returns the result CDN URL. Every video-ad media capability imports this; templates never call a provider directly.
status
active
version
2.0.2
updated
2026-10-06

media-proxy

The foundation capability for paid media in the video-ad pipeline. It fixes the auth-path conflict where engine scripts called FAL/ElevenLabs directly (billing the wrong account): all paid calls now go through <api_base>/api/internal/{fal-proxy,elevenlabs-proxy} with ?token=&agent_id=, which bills the Ads agent.

Crash-resume (never lose / double-bill a paid render)

A FAL submit BILLS immediately, but the local backend can blip during a multi-minute render. Two built-in protections (automatic for every capability that imports this):

  • Poll-through-outage — _fal_run's poll loop re-attaches to the same status/result URL through connection refused / timeout blips instead of crashing.

  • Persist + resume — each submit's request_id + poll URLs are written to ~/.gooseworks/pending-fal-jobs/. If the poller still dies, re-attach instead of re-firing (re-firing double-bills): resume_fal(request_id) in Python, or the CLI:

    bash
    resume.py --list                              # resumable (submitted, unfinished) jobs
    resume.py --request-id <id> --out final.mp4   # poll to completion + download

    resume_fal NEVER re-submits, so it can't double-charge.

  • Poll timeout never resubmits (GOOSE-3729) — polling gives up after default_poll_timeout(model): 1800s for video / lipsync / audio-driven models, 600s for images (GW_FAL_POLL_TIMEOUT_S overrides; timeout_s= per call). A timeout raises FalPollTimeout carrying .request_id + .model_path — the job is still running and already paid for. Re-attach with resume_fal(e.request_id); never call fal_generate* again for it (a veed/fabric lipsync once finished 26s after a 600s poller quit, and the retry paid for a second identical job).

  • Proxy dedupe back-stop — the fal proxy returns the already-running job for an identical submit (same agent + model + body) within 30 min, so an accidental resubmit re-attaches instead of paying twice (response header x-gw-deduped: 1). For a deliberate re-roll of the same input (want a new take), pass new_take=True (fal_generate(..., new_take=True) / fal_generate_video(...)), which sends x-gw-no-dedupe: 1 (raw HTTP callers: that header or ?dedupe=0).

  • Pass input_digest= for any piece you save as an ingredient, so a resumed run never pays twice. The body-match dedupe above breaks after a sandbox restart: the resumed run re-uploads its inputs (voiceover, stills) and gets NEW urls, so the body differs. fal_generate*(..., input_digest=d) sends x-gw-input-digest: d; the proxy then dedupes on (agent + model + digest) for 24 h and returns the job you already paid for. Use the same stable digest you save with media_upload (see below). If that job's result has since expired at fal, the poll fails: retry once with new_take=True.

Policy rejections are final: surface, do not retry (QA-14)

When fal refuses a request on policy grounds, _fal_run (and so fal_generate*) raises FalPolicyRejection, a RuntimeError subclass, so old except RuntimeError handlers still work. Policy grounds means a likeness of a real person ("likenesses of real people", "real person", "public figure"), content_policy_violation, partner_validation_failed, or NSFW / safety checker.

  • Every body shape is read. fal's detail as a list of {msg, type, loc, ctx}, a dict or a string; a top-level type/code/error; the GooseWorks MCP wrapper {"error": {"code": "provider_validation_failed", "status": 422, "detail": <fal body>}}; and a failed job_get reply {"status": "failed", "error": "fal returned HTTP 422 for the result.", "result": {"detail": <fal body>}} (fal reports most failed generations as COMPLETED plus a 422 on the result). Before this, a body with both msg and type kept the message and lost the type, so the rejection looked like a generic error.

  • When it counts as policy. An explicit policy code (content_policy_violation, partner_validation_failed, content_blocked) at any status, or a policy phrase (likeness, public figure, usage guidelines, risk control, moderation, blocked for safety, NSFW, flagged by the safety checker) on an explicit 4xx that is not 408 or 429. Input errors such as "Could not detect a real person's face" or "enable_safety_checker cannot be disabled" are not policy. A rejection on a 5xx, 408 or 429 is surfaced but never recorded.

  • What it carries: reason (the provider's words), kind (likeness | partner_validation | content_policy | nsfw), error_type, request_id, http_status, stage, charged and charge_note. charged is False for an explicit provider 4xx: the GooseWorks proxy debits only a successful response and releases the hold on a 4xx (read from the proxy code, not yet confirmed on a real rejection). It is None (unknown) for a job that failed after it was accepted.

  • The exact request is recorded in ~/.gooseworks/rejected-fal-requests/<key>.json, next to pending-fal-jobs/ (GW_FAL_REJECTIONS_DIR overrides). The key is a digest of the model plus the canonical JSON payload (sorted keys), and also of input_digest when one is passed.

  • An identical request is refused before any network call, with the same exception and from_ledger=True: "surface, do not retry: this exact request was already rejected by the provider for ...; change the inputs (image, prompt, model) to try again". new_take=True does not bypass it: a re-roll of a rejected payload is still the same payload. Any change to the prompt, an image, the seed or the model is a new request and is sent.

  • Inputs re-uploaded each run get new URLs, so the payload digest never matches twice. Pass input_digest= over the inputs' content, as create-creator-takes-h3/run_takes.py and render-street-interview/single_gen.py do. The ledger then matches on that too. refuse_if_rejected(model, input_digest=d) checks before you upload anything.

  • A caller's input_digest is a permanent refusal key. It must cover EVERY input that is sent: the prompt, every setting (duration, resolution, aspect ratio, audio, seed) and the content of every input file. Simplest: input_digest(model, payload) over the real payload with each uploaded URL replaced by {"sha256": <file hash>}. Leave an input out and a run that changed only that input (a new, acceptable image) is refused.

  • Exit code: scripts exit with POLICY_EXIT (3). The MCP relay also exits 3; the relay prints [mcp-relay], a rejection prints "surface, do not retry".

  • Non-policy errors (an unreadable image URL, a bad duration) stay a plain RuntimeError with the provider's message and type, and are never recorded.

  • Every refusal names its record: the ledger file and whether it matched the exact payload or the caller's input_digest.

  • Clearing a record is a user-approved action. Only when the user explicitly approves, e.g. because the provider changed its policy:

    bash
    python3 media_proxy.py rejections        # list recorded rejections (key, model, reason, request id)
    python3 media_proxy.py forget <key>      # clear one record (all its keys); USER-APPROVED ONLY

    forget_rejection(key) does the same in Python. It only ever deletes ledger records: it takes the 32-hex key (or that record's filename or path inside the ledger directory) and refuses anything else, such as another .json file or a file without a keys field. Agents never clear a record on their own to get a retry through.

Show full SKILL.md (519 more words)Show less

Use it

python
from media_proxy import fal_generate, fal_generate_video, eleven_music, download

# image (nano-banana / gpt-image / etc.) — inputs must be PUBLIC urls
img = fal_generate("fal-ai/nano-banana/edit",
                   {"prompt": p, "image_urls": [product_url], "aspect_ratio": "9:16"})
# video i2v (kling / seedance / veo)
vid = fal_generate_video("fal-ai/kling-video/v3/pro/image-to-video",
                         {"prompt": p, "image_url": keyframe_url, "duration": "10"})
# music bed
eleven_music(prompt, 10500, "music.mp3", force_instrumental=True)

Save-as-you-go digest (GOOSE-3731)

input_digest(model, args) = sha256 of the canonical JSON {"model", "args"} (sorted keys, no whitespace), first 32 hex chars. Pass it with the MCP media_upload of the result (plus an ingredient_key such as vo/scene-03); on a resume, media_list { ingredient_key } returns the saved file and its digest, and the file is reused only when the digest of the args you would send now is the same.

python
from media_proxy import input_digest, eleven_tts, fal_generate_video
args = {"text": line, "voice_id": vid, "model_id": "eleven_v3"}
digest = input_digest("elevenlabs/tts", args)

# FAL job: hash the STABLE identities of its inputs, not their urls, and send the
# same digest with the submit so a resumed run re-attaches instead of re-paying.
lip_digest = input_digest("veed/fabric-1.0", {"image": "still/scene-03:" + still_digest,
                                              "audio": "vo/scene-03:" + digest})
clip = fal_generate_video("veed/fabric-1.0", {"image_url": still_url, "audio_url": vo_url},
                          input_digest=lip_digest)

Hash only what determines the output. Swap any expiring input URL (presigned / proxy) for that input's own ingredient_key + digest first, or the digest never matches.

Contracts (load-bearing)

  • Bills the Ads agent — ?token=&agent_id= from ~/.gooseworks/credentials.json (written by the GooseWorks CLI). In a GooseWorks cloud sandbox (coworker chat) the env wins instead: GW_MEDIA_PROXY_TOKEN (a per-session token that already binds agent/org/user) + GW_API_BASE; GW_PROJECT_ID attributes spend.
  • Host-swap the FAL queue URLs — submit returns status_url/response_url on queue.fal.run; the helper rewrites them to the proxy base (keeps the path). Never poll queue.fal.run directly (401 + burns credits).
  • FAL inputs that are local files must be PUBLIC urls. The orchestrator hosts a local image/audio with the MCP media_upload (its returned url) and passes THAT url in, or call fal_upload(path), which puts the file on the fal CDN through the fal-storage-proxy (free, verified 2026-09-28) and returns its public url.
  • Only the final *.fal.media url is a real public URL — everything else is behind the proxy.

No credentials at all? The MCP relay

A session that only has the GooseWorks MCP connector (a chat app, or a terminal where the GooseWorks CLI is not signed in) has neither GW_MEDIA_PROXY_TOKEN (the cloud sandbox's) nor ~/.gooseworks/credentials.json, so scripts cannot reach the proxies over HTTP. Then every paid call is relayed through the agent:

  1. The script writes the exact MCP tool call to working/mcp-requests/<kind>-<hash>.json and exits with code 3, printing what to do.
  2. The agent makes that call through the connector:
    • fal → data_post { provider: "fal", path: <model>, body, project_id }, then job_get { job_id } until complete; save result.output (fal's JSON).
    • ElevenLabs → data_post { provider: "elevenlabs", ... }; save the reply (it carries download_url).
    • A local file → media_upload { scope: "video_project", ... } with the bytes of local_file; save { "url": <its url> }.
  3. It saves that JSON to save_result_to and re-runs the same command. The script finds the result and continues; the next paid call relays the same way.
  4. If data_post returns a provider_validation_failed error, or job_get returns status: failed, the agent saves that error JSON (the whole job_get reply) as the result instead. The script then reports it: a policy rejection raises FalPolicyRejection and is recorded, like the HTTP path. Any saved error is moved aside to <name>.error.json, so a re-run makes the call again instead of re-reading it (the ledger still refuses a recorded policy rejection).

Set GW_PROJECT_ID (required: every call is billed to that video project, the same attribution the HTTP proxy records) and GW_BRAND_ID (for uploads). The MCP tools bill through the same server proxy code, so price and project attribution are identical. GW_MEDIA_VIA=mcp forces the relay (e.g. the CLI login points at another environment); GW_MEDIA_VIA=proxy forces HTTP.

  • Used by create-image-fal, create-video-fal, create-music-elevenlabs.
  • The goose-video orchestrator hosts local inputs (MCP upload → presign) before calling these.

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

Files

SKILL.md and 5 other files (scripts) in skills/ads/capabilities/media-proxy of gooseworks-ai/goose-skills.

  • SKILL.md
  • scripts/media_proxy.py
  • scripts/resume.py
  • skill.meta.json
  • tests/smoke-test.md
  • tests/test_media_proxy_policy.py

Open the folder on GitHubat commit c650c6d

Compare with similar skills

Media Proxy 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.

Media Proxy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Media Proxy this skillgooseworks-ai/goose-skills1.2k—~3.3kAutomated safety check: PassMIT
AI Avatar Videoaiskillstore/marketplace4331 repos~2.4kAutomated safety check: PassNone
Musictadaspetra/loop2962 repos~827Automated safety check: PassMIT
Sound Effectstadaspetra/loop2962 repos~1.1kAutomated safety check: PassMIT
Elevenlabs Transcribeqdhenry/Claude-Command-Suite1.3k—~1.5kAutomated safety check: NotesNone
Dubbingelevenlabs/skills482—~3.3kAutomated safety check: PassMIT

Similar skills

  • AI Avatar Video

    aiskillstore/marketplace

    Create AI avatar and talking head videos via inference.sh CLI.

    433 GitHub starsUsed in 1 repo~2.4k tokens
    Media & CreativeAuto-check passed
  • Music

    tadaspetra/loop

    Generate music using ElevenLabs Music API. An agent skill from tadaspetra/loop.

    296 GitHub starsUsed in 2 repos~827 tokens
    Media & CreativeAuto-check passed
  • Sound Effects

    tadaspetra/loop

    Generate sound effects from text descriptions using ElevenLabs.

    296 GitHub starsUsed in 2 repos~1.1k tokens
    Media & CreativeAuto-check passed
  • Elevenlabs Transcribe

    qdhenry/Claude-Command-Suite

    Transcribes audio/video files using ElevenLabs Scribe v2 API.

    1.3k GitHub stars~1.5k tokensUpdated 7 mo ago
    Media & CreativeAuto-check: notes
  • Dubbing

    elevenlabs/skills

    Dub audio and video into other languages using the ElevenLabs Dubbing API (dubbingv2), preserving the original speakers' voices.

    482 GitHub stars~3.3k tokensUpdated yesterday
    Media & CreativeAuto-check passed
  • Sag

    trpc-group/trpc-agent-go

    ElevenLabs text-to-speech with mac-style say UX. An agent skill from trpc-group/trpc-agent-go.

    1.9k GitHub starsUsed in 15 repos~574 tokens
    Media & CreativeAuto-check passed

More from gooseworks-ai/goose-skills

All 273 skills in this repo
  • Reddit Post Finder

    gooseworks-ai/goose-skills

    Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.

    1.2k GitHub starsUsed in 1 repo~1.2k tokens
    Auto-check passed
  • Create Image Fal

    gooseworks-ai/goose-skills

    Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.

    1.2k GitHub stars~1.3k tokensUpdated today
    Auto-check passed
  • Render Hook Replacement

    gooseworks-ai/goose-skills

    Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.

    1.2k GitHub stars~2.3k tokensUpdated today
    Auto-check passed
  • Blog Feed Monitor

    gooseworks-ai/goose-skills

    Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.

    1.2k GitHub starsUsed in 1 repo~578 tokens
    Auto-check passed
  • Competitor Post Engagers

    gooseworks-ai/goose-skills

    Find leads by scraping engagers from a competitor's top LinkedIn posts.

    1.2k GitHub starsUsed in 1 repo~1.8k tokens
    Auto-check: notes
  • Render Chatgpt Chat

    gooseworks-ai/goose-skills

    Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…

    1.2k GitHub stars~2.3k tokensUpdated today
    Auto-check passed

Works with

Questions about Media Proxy

What does Media Proxy do?

Shared helper that routes ALL paid media generation (FAL image/video, ElevenLabs music) through the GooseWorks proxies so every call bills the Ads agent — never a provider SDK's default host. Media Proxy is an agent skill from gooseworks-ai/goose-skills. Shared helper that routes ALL paid media generation (FAL image/video, ElevenLabs music) through the GooseWorks proxies so every call bills the Ads agent — never a provider SDK's default host.

When should I use Media Proxy?

Media Proxy fits situations like: tasks that involve Text to speech and voice; tasks that involve Paid advertising.

How do I install Media Proxy in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill media-proxy -a claude-code`. Or copy the skill folder (skills/ads/capabilities/media-proxy in gooseworks-ai/goose-skills) into .claude/skills/media-proxy in your project. Claude Code loads it when a task matches its description.

How do I install Media Proxy in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill media-proxy -a codex`. Or copy the skill folder (skills/ads/capabilities/media-proxy in gooseworks-ai/goose-skills) into .agents/skills/media-proxy in your project. Codex loads it when a task matches its description.

Can I use Media Proxy 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 gooseworks-ai/goose-skills --skill media-proxy -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-proxy, .gemini/skills/media-proxy, .github/skills/media-proxy and .opencode/skills/media-proxy in your project.

What does Media Proxy need to run?

Going by SKILL.md and its folder, Media Proxy needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named GW_MEDIA_PROXY_TOKEN. Our summary lists: Python 3; A credential in GW_MEDIA_PROXY_TOKEN.

Does Media Proxy 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 Media Proxy 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Media Proxy use?

Media Proxy 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 Media Proxy use?

About 3.3k tokens (SKILL.md is roughly 13k 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 Media Proxy?

Skills that share tags, products or a category with Media Proxy: AI Avatar Video (aiskillstore/marketplace, 433 stars), Music (tadaspetra/loop, 296 stars), Sound Effects (tadaspetra/loop, 296 stars) and Elevenlabs Transcribe (qdhenry/Claude-Command-Suite, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Media Proxy?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.