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 footprintjs/footPrint --skill claude-codegit clone --depth 1 https://github.com/footprintjs/footPrintWrote 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/footprintjs/footprint/claude-code)<a href="https://agentmods.dev/skills/footprintjs/footprint/claude-code"><img src="https://agentmods.dev/badge/skills/footprintjs/footprint/claude-code/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/footprintjs/footprint/claude-code"><img src="https://agentmods.dev/badge/skills/footprintjs/footprint/claude-code.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 366 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00060 | $0.10342 |
| Opus 5.5 | $0.00024 | $0.04137 |
| Sonnet 5.5 | $0.00012 | $0.02068 |
| Haiku 4.5 | $0.00006 | $0.01034 |
Grade A, and why
footprint 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 7d 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 — 792 lines — stays where its author put it; the contents beside it link to each section on GitHub.
footprint.js — The Flowchart Pattern for Backend Code
footprint.js structures backend logic as a graph of named functions with transactional state. Every run records a commit log of what each stage wrote. Turn the narrative on (executor.enableNarrative()) and the same run also produces a plain-English trace of what happened and why, collected inline while the stages execute.
Core principle: All data collection happens during the single DFS traversal pass — never post-process or walk the tree again.
npm install footprintjs
Every TypeScript block in this file is type-checked (strict) and run against the built package (footprintjs 9.32.0); the
// …lines under aconsole.logare that run's real output.
Quick Start
import { flowChart, FlowChartExecutor, narrative } from 'footprintjs';
interface OrderState {
orderId: string;
amount: number;
paymentStatus: string;
}
const chart = flowChart<OrderState>('ReceiveOrder', (scope) => {
scope.orderId = 'ORD-123';
scope.amount = 49.99;
}, 'receive-order', { description: 'Receive and validate the incoming order' })
.addFunction('ProcessPayment', (scope) => {
const amount = scope.amount;
scope.paymentStatus = amount < 100 ? 'approved' : 'review';
}, 'process-payment', 'Charge customer and record payment status')
.build();
const executor = new FlowChartExecutor(chart);
executor.enableNarrative(); // the narrative is OFF until you ask for it
await executor.run();
// getNarrativeEntries() returns CombinedNarrativeEntry[] — objects, not strings
for (const entry of executor.getNarrativeEntries()) {
console.log(' '.repeat(entry.depth) + entry.text);
}
// Stage 1: The process began: Receive and validate the incoming order.
// Step 1: Write orderId = "ORD-123"
// Step 2: Write amount = 49.99
// Stage 2: Next step: Charge customer and record payment status.
// Step 1: Read amount = 49.99
// Step 2: Write paymentStatus = "approved"
// One-shot alternative: attach a recorder to the BUILT CHART, read the entries back from the recorder
const trace = narrative();
const result = await chart.recorder(trace).run(); // RunResult — there is no executor in this form
console.log(Object.keys(result), trace.getEntries().length);
// [ 'state', 'output', 'executionTree', 'commitLog' ] 6
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.
- 7d ago Changed · +2 lines 8ebec64974dd
- 13d ago Changed · +2 lines c266a65a6733
- 14d ago Changed · +1 lines c49e058132d6
- 17d ago Changed 51b9e3f232da
- 19d ago Changed · +2 lines d22f289c39c5
- 20d ago Changed · +203 lines 1d8cb6847bc2
- 1mo ago First seen · 582 lines · 60 tokens per session scan A 143c81974003
footprint is a skill published in the GitHub repository footprintjs/footPrint (21 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 10,342 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 2026-08-30.
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