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 ulises-jeremias/agent-toolkit --skill spikegit clone --depth 1 https://github.com/ulises-jeremias/agent-toolkitWrote 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/ulises-jeremias/agent-toolkit/spike)<a href="https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/spike"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/spike/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/ulises-jeremias/agent-toolkit/spike"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/spike.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 | $0.00034 | $0.00194 |
| Opus 5.5 | $0.00014 | $0.00078 |
| Sonnet 5.5 | $0.00007 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00019 |
Grade A, and why
spike 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 1mo 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.
What it actually says
Spike and Research Findings (WHAT)
Use for technical exploration, feasibility validation, architecture assessment, or research outputs that should influence design or implementation.
Default guardrails
- Apply
output-handshakebefore final output. - Make findings actionable: recommendation, tradeoffs, open questions, and next steps.
- Link from
trdwhen the spike informs technical design. - Link from
adrwhen the spike leads to a durable decision.
References
references/default-template.mdreferences/example-graphql-federation.md— example spike for evaluating GraphQL Federation with tradeoffs and phased approachtrdadr
What ships with it
2 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.
- 1mo ago First seen · 25 lines · 34 tokens per session scan A 8bb9e72fff5d
spike is a skill published in the GitHub repository ulises-jeremias/agent-toolkit (19 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 194 once invoked, about $0.0001 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 2026-09-04.
Other skills, from other repositories
verify
Fact-check claims encountered during reading — dates, names, events, citations. Use when encountering historical facts or disputed claims.
skillnote
Self-hosted skill registry for OpenClaw. Stores procedures your team writes (name, description, body), syncs them to disk before each task, and collects which-helped/which-failed signals from the agent so the registry improves over time.
pr-alignment-loop
Iterate a PR to its final form by running two opposing reviewer droids (reviewer-robustness and reviewer-minimalist) in a bounded back-and-forth loop. The main orchestrator synthesizes their feedback, makes edits, runs tests, and stops when both approve, on stagnation, or after 3 rounds. Use when the user asks to…
publish-website
Publish a website to Porkbun Secure Static Hosting. Use when the user asks you to build, create, update or put live a website, landing page or placeholder page for a domain they have at Porkbun, mentions Porkbun hosting or static hosting, or asks how to upload site files to Porkbun.
create-rule
Use when creating, writing, or updating a Claude Code rule file (.claude/rules/.md or /.claude/rules/.md), or when asking about rule format, path scoping, or rule best practices.
platform-setup
Set up, verify, and troubleshoot Katalon True Platform/TestOps MCP connectivity for any AI coding agent. Use when you need to install or configure the Katalon MCP server, connect to a Katalon platform account, verify available Katalon MCP tools, diagnose missing authentication or repository access, confirm…