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 jmanhype/claude-code-plugin-marketplace --skill generate-appworld-codegit clone --depth 1 https://github.com/jmanhype/claude-code-plugin-marketplaceWrote 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/jmanhype/claude-code-plugin-marketplace/generate-appworld-code)<a href="https://agentmods.dev/skills/jmanhype/claude-code-plugin-marketplace/generate-appworld-code"><img src="https://agentmods.dev/badge/skills/jmanhype/claude-code-plugin-marketplace/generate-appworld-code/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/jmanhype/claude-code-plugin-marketplace/generate-appworld-code"><img src="https://agentmods.dev/badge/skills/jmanhype/claude-code-plugin-marketplace/generate-appworld-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00050 | $0.01375 |
| Opus 5.5 | $0.00020 | $0.00550 |
| Sonnet 5.5 | $0.00010 | $0.00275 |
| Haiku 4.5 | $0.00005 | $0.00137 |
Grade A, and why
generate-appworld-code 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 2mo 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate AppWorld Code
Generate executable Python code for AppWorld agent tasks, applying learned strategies from the ACE playbook.
Purpose
When the AppWorld executor encounters a task, it calls this Skill with:
- Task instruction (natural language)
- Available apps (e.g., ['spotify', 'venmo'])
- Playbook bullets (learned strategies to apply)
You generate Python code that:
- Solves the task using AppWorld APIs
- Applies bullet guidance strategies
- Handles errors gracefully
- Calls
apis.supervisor.complete_task()when done
Input Format
{
"instruction": "What is the title of the most-liked song in my Spotify playlists",
"apps": ["spotify"],
"strategies": [
"Always login before API calls",
"Handle pagination for large result sets"
],
"bullets": [
{
"id": "bullet-xxx",
"title": "Spotify login pattern",
"content": "Login to Spotify using apis.spotify.login() with credentials..."
}
]
}
AppWorld API Patterns
Spotify
# Login
response = apis.spotify.login(username="[email protected]", password="password")
token = response["access_token"]
# Get playlists
playlists = apis.spotify.show_playlist_library(access_token=token)
# Get songs in playlist
songs = apis.spotify.show_playlist_songs(
access_token=token,
playlist_id=playlists[0]["id"]
)
Venmo
# Login
response = apis.venmo.login(username="[email protected]", password="password")
token = response["access_token"]
# Get friends
friends = apis.venmo.show_friends(access_token=token)
# Send payment
apis.venmo.send_payment(
access_token=token,
recipient_id=friend["id"],
amount=10.00,
note="Payment note"
)
Gmail
# Login
response = apis.gmail.login(username="[email protected]", password="password")
token = response["access_token"]
# Fetch emails
emails = apis.gmail.fetch_emails(
access_token=token,
max_results=10,
query="is:unread"
)
# Send email
apis.gmail.send_email(
access_token=token,
to="[email protected]",
subject="Subject",
body="Email body"
)
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.
- 2mo ago First seen · 233 lines · 50 tokens per session scan A 61f0af645746
generate-appworld-code is a skill published in the GitHub repository jmanhype/claude-code-plugin-marketplace (28 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 1,375 once invoked, about $0.0002 per session on Opus 5.5. 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.
generate-appworld-code compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| generate-appworld-codejmanhype/claude-code-plugin-marketplace | Skill | 28 | yesterday | MIT | A | 50 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| pennylaneK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 74 | Claude Code |
| holoscan-install-wheelNVIDIA/skills | Skill | 3.9k | yesterday | Apache-2.0 | A | 34 | Claude Code, Codex |
| future-self-liteTHU-MAIC/OpenMAIC | Skill | 43k | yesterday | MIT | A | 20 | Claude Code, Codex |
| rocm-kernelshuggingface/kernels | Skill | 783 | yesterday | Apache-2.0 | A | 93 | Claude Code |
| typing-exclusion-workergetsentry/skills | Skill | 1.1k | yesterday | Apache-2.0 | A | 57 | Claude Code |