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 pivyme/suiperpower --skill walrus-researchgit clone --depth 1 https://github.com/pivyme/suiperpowerWrote 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/pivyme/suiperpower/walrus-research)<a href="https://agentmods.dev/skills/pivyme/suiperpower/walrus-research"><img src="https://agentmods.dev/badge/skills/pivyme/suiperpower/walrus-research/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/pivyme/suiperpower/walrus-research"><img src="https://agentmods.dev/badge/skills/pivyme/suiperpower/walrus-research.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 | $0.00031 | $0.01635 |
| Opus 5 | $0.00015 | $0.00817 |
| Sonnet 5 | $0.00006 | $0.00327 |
| Haiku 4.5 | $0.00003 | $0.00163 |
Grade A, and why
walrus-research 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
# Suiperpower telemetry. Routes through the CLI so projects.json + Convex stay in sync.
# Silent on failure so the skill never blocks. Opt out: SUIPERPOWER_TELEMETRY=off.
#
# AGENT NOTE: when this skill finishes, run the matching completion command:
# suiperpower track walrus-research idea completed
# Or use "failed" / "aborted" if it ended that way.
command -v suiperpower >/dev/null 2>&1 && suiperpower track walrus-research idea started >/dev/null 2>&1 &
true
If TEL_PROMPTED is no, before doing real work, ask the user:
Help suiperpower get better. We track which skills get used and how long they take. No code, no file paths, no PII. Change anytime in
~/.suiperpower/config.json.A) Sure, anonymous B) No thanks
Write the answer to ~/.suiperpower/config.json telemetryTier field and create ~/.suiperpower/.telemetry-prompted. Then continue.
What this skill does
Surveys current Walrus storage usage and turns it into a list of product opportunities. Walks four categories: media products, archive products, identity / verifiable storage, and developer tooling. Output is a ranked candidate list grounded in observed usage patterns and gaps in tooling, not generic "decentralized storage" framings.
The Walrus value proposition is durable, available, content-addressed blob storage with payment in WAL. The gaps are usually at the integration layer (apps, tooling, gateways), not the protocol layer.
When to use it
- The user wants to build on Walrus but is exploring use cases.
- The user is mid-validation of a Walrus-adjacent idea and wants traction signals.
- The user is sponsor-track-aligned (Sui Overflow Walrus track) and needs a load-bearing integration angle.
When NOT to use it
- The user wants to build a Walrus integration with a chosen idea, route to
walrus-storage. - The user wants general Sui idea search, route to
find-next-sui-idea. - The user wants DeepBook research, route to
deepbook-research.
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.
- 11d ago First seen · 150 lines · 31 tokens per session scan A ffef34ff7cde
walrus-research is a skill published in the GitHub repository pivyme/suiperpower (12 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 1,635 once invoked, about $0.0002 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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