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 hachej/boring-ui --skill agent-capabilitiesgit clone --depth 1 https://github.com/hachej/boring-uiWrote 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/hachej/boring-ui/agent-capabilities)<a href="https://agentmods.dev/skills/hachej/boring-ui/agent-capabilities"><img src="https://agentmods.dev/badge/skills/hachej/boring-ui/agent-capabilities/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/hachej/boring-ui/agent-capabilities"><img src="https://agentmods.dev/badge/skills/hachej/boring-ui/agent-capabilities.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 | $0.00136 | $0.02193 |
| Opus 5.5 | $0.00054 | $0.00877 |
| Sonnet 5.5 | $0.00027 | $0.00439 |
| Haiku 4.5 | $0.00014 | $0.00219 |
Grade B, and why
agent-capabilities scanned grade B 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 9d 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
- **With `selfEvolving: true`, gating `bash` is bypassable.** Agent-written tools in `.agent/tools/*.json` run their `run` command through the conversation's `ExecutionEnv.exec`, not through the `bash` tool, so a `bash` How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent capabilities
Every capability is a native Pi tool or extension that you hand to defineAgent (from @hachej/boring-agent/agents). The host decides what the agent may do. Start from the server in the build-agent-app skill.
const agent = defineAgent({
id: 'writer', model: { provider: 'openai', modelId: 'gpt-5-mini' }, instructions: '...',
tools: [/* tool registrations */],
extensions: [/* native extensions, in order */],
delegates: [/* sub-agents */],
});
agent.install(registry); // before Harness.open
Custom tools
Use Pi's defineTool and Type. Return text in output.
import { defineTool } from '@earendil-works/pi-durable';
import { Type } from '@earendil-works/pi-ai';
const lookupOrder = defineTool({
name: 'lookup_order', description: 'Look up a fictional order by its number.',
parameters: Type.Object({ number: Type.String() }, { additionalProperties: false }),
execute: async ({ number }) => ({ output: [{ type: 'text', text: JSON.stringify(await orders.get(number)) }] }),
});
The host's execute owns the data access, credentials and limits. For a tool described by a raw JSON Schema (an MCP inputSchema), use jsonSchemaTool({ name, description, parameters, execute }) from /agents.
Files
- Give the agent Pi's own
createReadTool(),createWriteTool(),createEditTool()(andcreateBashTool()with a shell) from@earendil-works/pi-durable/tools, in onedefineExtension. - Add
createFileGuard({ workspace: { files, root, access } })from/file-guardafter that extension. It routesread/write/editthrough the workspace provider, refuses writes to files the conversation has not read at their current revision, and records agent edits in file history. - Add
createPresentTool({ workspace })from/artifactsso the agent can open a file in the page. - Use the same
filesprovider everywhere (guard,present, revision route). Never a second copy. - Several people, one agent: resolve the workspace per call with
@hachej/boring-agent/workspaces(Workspace per call).
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.
- 9d ago First seen · 139 lines · 136 tokens per session scan B 7162710c8958
agent-capabilities is a skill published in the GitHub repository hachej/boring-ui (49 stars, last pushed today), licensed MIT. It adds 136 tokens to every session and 2,193 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-23.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
component-fixtures
Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.