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 happyhappy-jun/writing-driven-autoresearch --skill wandb-onboardinggit clone --depth 1 https://github.com/happyhappy-jun/writing-driven-autoresearchWrote 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/happyhappy-jun/writing-driven-autoresearch/wandb-onboarding)<a href="https://agentmods.dev/skills/happyhappy-jun/writing-driven-autoresearch/wandb-onboarding"><img src="https://agentmods.dev/badge/skills/happyhappy-jun/writing-driven-autoresearch/wandb-onboarding/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/happyhappy-jun/writing-driven-autoresearch/wandb-onboarding"><img src="https://agentmods.dev/badge/skills/happyhappy-jun/writing-driven-autoresearch/wandb-onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00040 | $0.01380 |
| Opus 5.5 | $0.00016 | $0.00552 |
| Sonnet 5.5 | $0.00008 | $0.00276 |
| Haiku 4.5 | $0.00004 | $0.00138 |
Grade C, and why
wandb-onboarding scanned grade C with 1 finding 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.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
**Never ask** the user to paste an API key, password, MFA code, or OAuth token into chat. Do not read cookies, browser storage, password managers, `~/.netrc`, environment variable values, or raw credential files. How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
W&B Onboarding
Overview
Guide signup with browser assistance, hand sensitive identity steps to the user, then verify the SDK offline before any upload. Read the current official workflow for URLs and commands. For official examples and autoresearch analysis, also read the W&B official ecosystem.
Preflight
Classify the target as signup, SDK authentication, offline tutorial, or online run. Confirm browser and uv availability without inspecting credentials, secret files, cookies, browser storage, or environment-variable values.
Safety Contract
Never ask the user to paste an API key, password, MFA code, or OAuth token into chat. Do not read cookies, browser storage, password managers, ~/.netrc, environment variable values, or raw credential files.
The user must complete identity-provider selection, credentials, OAuth consent, CAPTCHA, MFA, email verification, legal acceptance, final signup, and API-key copy. Use an interactive prompt for the key; never place it in a command argument, source file, generated asset, or repository.
Workflow
- Open the official W&B signup page with the available Browser skill. Inspect the current visible options; do not guess selectors when the page changes. If browser control is unavailable, give the exact manual link and checkpoint list.
- Recommend the Cloud-hosted Free plan and personal entity for an individual tutorial. Present any discovered organization/team separately and let the user choose.
- Hand off the sensitive signup steps. After the user returns, verify only the visible logged-in state.
- Guide the user to User Settings → API Keys. The user creates and stores the key privately.
- For existing credentials, run
wandb login --verify. For a new key, explain the local credential write, obtain explicit confirmation, then runwandb login --relogin --cloud --verify. The user enters the key only in the interactive prompt. - Copy
assets/wandb-quickstart.pyinto a disposableuvworkspace. Run it first withWANDB_MODE=offlineand inspect the completed local run. - Before any online run or offline-run sync, show the target entity, project, visibility, metrics/config fields,
group,job_type, code/Git/console/system capture settings, every offline run directory, and files or data that would upload. Set or verify project visibility in the official UI, bind the approved destination throughWANDB_ENTITYandWANDB_PROJECT, then obtain explicit confirmation. - Prefer syncing the already verified offline run with
wandb sync --entity ... --project ... --skip-console --no-sync-tensorboard <run-directory>. Verify the authoritative run URL and visible fields after upload. Report what was uploaded and how to remove or change access if needed.
What ships with it
3 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.
- 2mo ago First seen · 79 lines · 40 tokens per session scan C 4cd4712e6cb4
wandb-onboarding is a skill published in the GitHub repository happyhappy-jun/writing-driven-autoresearch (23 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 40 tokens to every session and 1,380 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
wandb-onboarding compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| wandb-onboardinghappyhappy-jun/writing-driven-autoresearch | Skill | 23 | 3mo ago | Apache-2.0 | C | 40 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |