hcifootprint-adoption

hcifootprint-adoption is a skill for Claude Code, Codex from footprintjs/hcifootprint. It costs 50 tokens per session (1,392 once invoked), scanned A, original, MIT.

A guide for adding hcifootprint to an existing web application so an agent can discover and use the application's declared actions. It covers connecting existing pages, routes, handlers, permissions, and state updates rather than changing the library itself.

In plain words
What is it for?
Use it to connect journeys, live application actions, callable bindings, and served tools to an existing web app. It is for integrating agent-accessible controls into an application.
Why use it?
It helps expose existing application actions without replacing the application's routes or handlers. It also clarifies that different action interfaces are separate and do not automatically appear everywhere.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to connect journeys, live application actions, callable bindings, and served tools to an existing web app. It is for integrating agent-accessible controls into an application.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/footprintjs/hcifootprint/hcifootprint-adoption
Install

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.

Any agent
npx skills add footprintjs/hcifootprint --skill hcifootprint-adoption
Clone the repo
git clone --depth 1 https://github.com/footprintjs/hcifootprint

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for hcifootprint-adoption

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/footprintjs/hcifootprint/hcifootprint-adoption"><img src="https://agentmods.dev/badge/skills/footprintjs/hcifootprint/hcifootprint-adoption.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,392 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00050 $0.01392
Opus 5.5 $0.00020 $0.00557
Sonnet 5.5 $0.00010 $0.00278
Haiku 4.5 $0.00005 $0.00139

Measured 2d ago against content hash e4b4239b1c72, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hcifootprint-adoption 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 2d 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.

skills/hcifootprint-adoption/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use the application's existing routes, controls, handlers and permissions.

Before coding, inspect the installed package version and exports. Read the maintained API guide. Its version and import inventory are generated from the repository's package.json; installed declarations take precedence when the application uses an older release. Do not upgrade the application's dependencies unless the task calls for it.

Start with the quick start and adoption ladder.

Connect the app

Reuse route, journey and live-action sources where available. For Session serving, connect existing handlers with registerActions or fromLiveStore. Report actual page and state changes through sync and updateState.

Callable defineAction/ActionRuntime bindings are a separate surface: they do not automatically become Session affordances or served tools. Read the action-binding guide when the task needs those bindings.

Retain each native invocation immediately and return its broker handle with the observed state. Deliver actual progress and settlement events through the host; keep transport cancellation/deadlines outside business settlement. Do not hide the handle behind an indefinite effect wait or infer completion from a timer.

For a continuing task, choose the existing layer:

  • Session journeys describe named flows across pages and model turns. Use the served ready/later steps, human pauses and settlement results to choose the next move; a journey is not an automatic batch executor.
  • Callable walks use beginWalk(runtime, 'agent') for a known sequential plan. Each step rechecks its live offer; explicit carry uses an earlier declared produces. Render onRow manifests and retain interruption reasons. Replan or ask a person when a new decision is needed.
  • For progress within one callable action, declare settle.progress, report actual stages with reportProgress, and subscribe through invocation.progress. Progress is not effect verification. A walk's completed means its invocations performed, not that every effect was verified. Callable walks are not automatically served through Session/MCP/WebMCP.

Parallel actions require 3.2.0 or newer: use walk.parallel(steps, { concurrency, onRow }) for independently available actions/background work, with no carry between parallel items. Its concurrency limit bounds running invocations; completion does not await every effect. Read the parallel guide for ordering, failures and interruption.

Keep navigation-dependent page-1 → page-2 work sequential. node is a binding label; neither it nor different node names prove visibility or independence. The app must disconnect unmounted controls, or report enabledness for the active page when hidden controls remain mounted. Separate browser contexts exist only if the host provides them. Browser automation can also batch: choose based on declared semantics and actual evidence, not an assumed model turn per click.

Choose the host boundary the application needs:

  • Direct integration: serveToAgent(session), then tools() and call().
  • MCP: mcpServer from hcifootprint/mcp; the MCP SDK is an optional peer.
  • Browser WebMCP: registerWebMcpTools from hcifootprint/webmcp, with an explicitly supplied host context and owner AbortSignal. Read the compatibility and lifecycle guidance before registering tools, especially from a React effect.

Read the full file on GitHub · 103 lines

Changes

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.

  1. 2d ago Changed · +8 lines e4b4239b1c72
  2. 8d ago First seen · 95 lines · 50 tokens per session scan A 1b7b7e6d8c08

Subscribe to this mod's changes

hcifootprint-adoption is a skill published in the GitHub repository footprintjs/hcifootprint (11 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 1,392 once invoked, about $0.0002 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 2026-10-30.

Related

hcifootprint-adoption compared with skills from other repositories

hcifootprint-adoption next to 6 skills from other repositories
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analyze-marketlangchain-ai/deepagentsSkill31kyesterdayMITA34Claude Code, Codex