Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
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.
npx skills add gooseworks-ai/goose-skills --skill media-proxygit clone --depth 1 https://github.com/gooseworks-ai/goose-skillsWrote 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.
[](https://agentmods.dev/skills/gooseworks-ai/goose-skills/media-proxy)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/media-proxy"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/media-proxy/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.
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/media-proxy"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/media-proxy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Privilege Escalation · line 3 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 48 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00087 | $0.00839 |
| Opus 5 | $0.00044 | $0.00419 |
| Sonnet 5 | $0.00017 | $0.00168 |
| Haiku 4.5 | $0.00009 | $0.00084 |
Grade A, and why
media-proxy 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 12d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 throughconnection 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:resume.py --list # resumable (submitted, unfinished) jobs resume.py --request-id <id> --out final.mp4 # poll to completion + downloadresume_falNEVER re-submits, so it can't double-charge.
Use it
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/v2.1/standard/image-to-video",
{"prompt": p, "image_url": keyframe_url, "duration": "10"})
# music bed
eleven_music(prompt, 10500, "music.mp3", force_instrumental=True)
Contracts (load-bearing)
- Bills the Ads agent —
?token=&agent_id=from~/.gooseworks/credentials.json(the CLI writes it; rungooseworks loginif missing). - Host-swap the FAL queue URLs — submit returns
status_url/response_urlonqueue.fal.run; the helper rewrites them to the proxy base (keeps the path). Never pollqueue.fal.rundirectly (401 + burns credits). - FAL inputs that are local files must be PUBLIC urls. The orchestrator hosts a
local image/audio via the MCP
get_upload_url→get_download_urlpresigned URL and passes THAT url in. This module does not do MCP uploads (prefer the presigned url;fal-storage-proxymay 404). - Only the final
*.fal.mediaurl is a real public URL — everything else is behind the proxy.
What ships with it
4 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.
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.
- 12d ago First seen · 63 lines · 87 tokens per session scan A caf9648011f7
media-proxy is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 87 tokens to every session and 839 once invoked, about $0.0004 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 2026-08-30.
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