What is platform-collector-development?

A guide for building software that collects signals from macOS, Windows, or Linux and passes privacy-conscious event data to a shared runtime.

Use it to add or review platform collectors, choose suitable operating-system APIs, connect Python adapters, and verify helper health.

It helps keep operating-system integrations organized, consistent, and careful about redaction and durable data handling.

platform-collector-development — Skill for Claude Code and Codex by Co

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 CodeInfinity1/Stram --skill platform-collector-development

Clone the repo

git clone --depth 1 https://github.com/CodeInfinity1/Stram

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/codeinfinity1/stram/platform-collector-development/github.svg)](https://agentmods.dev/skills/codeinfinity1/stram/platform-collector-development)

Your own site

<a href="https://agentmods.dev/skills/codeinfinity1/stram/platform-collector-development"><img src="https://agentmods.dev/badge/skills/codeinfinity1/stram/platform-collector-development/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/codeinfinity1/stram/platform-collector-development"><img src="https://agentmods.dev/badge/skills/codeinfinity1/stram/platform-collector-development.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,551 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.

Model	Per session	Once invoked
Fable 5.1	$0.00051	$0.01551
Opus 5	$0.00026	$0.00776
Sonnet 5	$0.00010	$0.00310
Haiku 4.5	$0.00005	$0.00155

Measured 9d ago against content hash 33bac1839a91, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-13, from the pricing page.

Security

Grade A, and why

platform-collector-development 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 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.

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/software-engineering/platform-collector-development/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Platform Collector Development

Purpose

Implement Stram platform collectors as organized platform helpers that observe OS or app signals, redact locally, emit shared collector event envelopes, and let the Python runtime own durable ingestion.

When To Use

Use when adding, extending, organizing, reviewing, or debugging collectors under collectors/macos, collectors/windows, or collectors/linux; when wiring a matching Python bridge adapter; or when choosing the right OS API for collector stimuli.

Inputs And Evidence

User's target OS, collector name, stimulus types, and privacy level.
docs/COLLECTOR_ARCHITECTURE.md.
collectors/shared/event-envelope.schema.json.
Existing platform helper layout under collectors/<os>/.
Relevant Python bridge adapters under stram/collectors/adapters/ and registry wiring in stram/collectors/registry.py.
Official OS API docs or man pages for the platform surface. Start with references/os-api-references.md, then refresh with web lookup when APIs may have changed.

Tool Map

codebase-inspection
skill-authoring
read_file
search_workspace
list_files
run_shell_command
web_search
fetch_web_page

Repository Boundaries

Native code lives only under collectors/macos, collectors/windows, or collectors/linux.
Do not add old root-level collector adapters under stram/collectors.
If Python integration is needed, update only the relevant adapter under stram/collectors/adapters/ and keep registration in stram/collectors/registry.py.
Treat JSONL/platform bridge as ingress only. Python owns SQLite event log, consumers, batching, memory, attention compaction, and the LLM boundary.
Use the existing shared contract at collectors/shared/event-envelope.schema.json.

Organization Pattern

For each platform, keep helpers modular before adding more collectors:

collectors/<os>/
  README.md
  shared/event writer or package metadata
  host/runtime entrypoint
  bridge/spool/health code
  collector-category folders
  OS support readers

Read the full file on GitHub · 160 lines

Files

What ships with it

1 file 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.

references/os-api-references.md 6.9 KB

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.

9d ago First seen · 160 lines · 51 tokens per session scan A 33bac1839a91

Subscribe to this mod's changes

platform-collector-development is a skill published in the GitHub repository CodeInfinity1/Stram (11 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 1,551 once invoked, about $0.0003 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 2026-09-03.

Hardware and IoT ai-agent ai-agents ai-tools desktop-automation desktop-automation-software desktop-automation-windows

omh-physical-device-readiness

This is a Hermes-native physical-device-readiness workflow skill.

rlaope/oh-my-hermes · 100 tokens

configure-macro-keyboard

Configure a cheap 3-key USB-C/Bluetooth macro pad on macOS end-to-end with Karabiner-Elements.

terrylica/cc-skills · 31 tokens

wasm

WebAssembly (WASM) integration, WASI, component model, Rust/Go to WASM compilation. Use when implementing WASM modules, browser/edge compute, or polyglot runtime.

TheBeardedBearSAS/claude-craft · 0 tokens

emit-fn-key-on-macos

Emit a real Fn key on macOS (for Typeless push-to-talk, macOS dictation, screenshot shortcuts, emoji picker, Spotlight via.

terrylica/cc-skills · 38 tokens

embedded-iot

Embedded systems firmware, microcontrollers (ESP32, STM32, Arduino, Raspberry Pi), RTOS (FreeRTOS, Zephyr), IoT protocols (MQTT, CoAP, BLE), bare-metal C/C++, and hardware peripheral interfaces (I2C, SPI, UART, GPIO). Use when developing firmware, working with microcontrollers, or building IoT devices.

travisjneuman/.claude · 80 tokens

mobile-hardware-ble-nfc

BLE scanning/connecting/GATT operations with react-native-ble-plx, NFC tag reading/writing with react-native-nfc-manager, permissions, background mode, battery-efficient patterns.

agents-inc/skills · 43 tokens