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-project-analystgit 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-project-analyst)<a href="https://agentmods.dev/skills/happyhappy-jun/writing-driven-autoresearch/wandb-project-analyst"><img src="https://agentmods.dev/badge/skills/happyhappy-jun/writing-driven-autoresearch/wandb-project-analyst/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-project-analyst"><img src="https://agentmods.dev/badge/skills/happyhappy-jun/writing-driven-autoresearch/wandb-project-analyst.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 | $0.00096 | $0.00766 |
| Opus 5 | $0.00048 | $0.00383 |
| Sonnet 5 | $0.00019 | $0.00153 |
| Haiku 4.5 | $0.00010 | $0.00077 |
Grade A, and why
wandb-project-analyst 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 11d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
W&B Project Analyst
Use W&B MCP as the primary interface for reading and analyzing data already stored in W&B. Ground conclusions in retrieved run, trace, evaluation, and artifact evidence.
Operating Rules
- Identify the entity, project, time range, metric, and comparison target from the request or discover missing scope with MCP.
- Probe unfamiliar Models projects and infer unfamiliar Weave schemas before querying them.
- Use summary-level trace data for broad analysis and full trace payloads only for a small set of relevant traces.
- Prefer purpose-built history, comparison, diagnosis, and evaluation tools over manual broad queries.
- Distinguish observed facts from inferences and recommendations. Include run ids, trace ids, artifact versions, timestamps, or W&B links when available.
- Confirm full retrieval for broad rankings instead of assuming the newest page is complete.
- Do not persist an analysis run or create a W&B Report unless the user explicitly asks to save or publish the findings.
- Never request, print, or store the value of
WANDB_API_KEY. - Use the official
wandb-primaryskill when available for W&B SDK patterns or as a fallback when an MCP capability is unavailable.
Workflow
- Normalize the analytical question and target W&B project.
- Verify MCP access. If the entity or project is unknown, discover it before proceeding.
- Select the product surface:
- Models runs: probe keys, then query runs, histories, comparisons, or diagnoses.
- Weave traces: infer the schema, then count or query traces and resolve roots when needed.
- Evaluations: use evaluation summaries before raw trace analysis.
- Artifacts and Registry: list, inspect, and compare explicit versions.
- Retrieve only the fields and time range needed to answer the question.
- Compute or synthesize the answer, checking denominators, missing data, and baseline comparability.
- Return evidence, caveats, and the next useful investigation.
- If explicitly requested, log computed analysis values and create a W&B Report.
What ships with it
1 file 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.
- 11d ago First seen · 70 lines · 96 tokens per session scan A e4a4e3f6484a
wandb-project-analyst is a skill published in the GitHub repository happyhappy-jun/writing-driven-autoresearch (21 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 96 tokens to every session and 766 once invoked, about $0.0005 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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