embedded-data-parsing-libs

embedded-data-parsing-libs is a skill for Claude Code, Codex from easyzoom/aix-skills. It costs 38 tokens per session (643 once invoked), scanned A, original, MIT.

Guidance for integrating and debugging small C libraries that parse JSON or INI configuration data on embedded devices. It covers cJSON, jsmn, and inih, which are lightweight parsing libraries.

In plain words
What is it for?
Use it when parsing configuration, telemetry, or command data on an MCU, especially when investigating parse errors, memory leaks, heap exhaustion, or stack limits.
Why use it?
It helps avoid common embedded-system failures involving memory use, input limits, malformed data, encoding, callbacks, and recursion.

Skill for Claude CodeCodex

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

Good fit Use it when parsing configuration, telemetry, or command data on an MCU, especially when investigating parse errors, memory leaks, heap exhaustion, or stack limits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/easyzoom/aix-skills/embedded-data-parsing-libs
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 easyzoom/aix-skills --skill embedded-data-parsing-libs
Clone the repo
git clone --depth 1 https://github.com/easyzoom/aix-skills

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 embedded-data-parsing-libs

README.md
[![agentmods](https://agentmods.dev/badge/skills/easyzoom/aix-skills/embedded-data-parsing-libs/github.svg)](https://agentmods.dev/skills/easyzoom/aix-skills/embedded-data-parsing-libs)
Your own site
<a href="https://agentmods.dev/skills/easyzoom/aix-skills/embedded-data-parsing-libs"><img src="https://agentmods.dev/badge/skills/easyzoom/aix-skills/embedded-data-parsing-libs/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.

agentmods 80×15 button for embedded-data-parsing-libs

Your own site · 80×15
<a href="https://agentmods.dev/skills/easyzoom/aix-skills/embedded-data-parsing-libs"><img src="https://agentmods.dev/badge/skills/easyzoom/aix-skills/embedded-data-parsing-libs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 643 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 $0.00038 $0.00643
Opus 5 $0.00019 $0.00321
Sonnet 5 $0.00008 $0.00129
Haiku 4.5 $0.00004 $0.00064

Measured 10d ago against content hash 4b5c5625f329, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

embedded-data-parsing-libs 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 10d 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/embedded-data-parsing-libs/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Embedded Data Parsing Libs

Overview

Use this skill for small embedded data parsers where the main risks are memory allocation, input bounds, encoding assumptions, recursion, and callback handling. Cover cJSON, jsmn, and inih without copying their full APIs.

When To Use

Use this skill when:

  • The user wants to parse JSON or INI on an MCU.
  • The task mentions cJSON, jsmn, inih, config files, telemetry JSON, command payloads, or settings parsing.
  • The issue involves parse failure, memory leak, heap exhaustion, malformed input, callback mapping, or stack/recursion limits.

Do not use this skill for binary protocols or large streaming parsers outside these small libraries.

First Questions

Ask for:

  • Parser library: cJSON, jsmn, inih, or another small C parser.
  • Input source and maximum input size.
  • Runtime: bare metal, RTOS, Linux, bootloader, or shell command.
  • Whether dynamic allocation is allowed.
  • Expected schema and how malformed input should behave.
  • Current error, sample input, and memory budget.

Library Checks

cJSON

  • Decide whether heap allocation is acceptable.
  • Provide custom malloc/free hooks if the project uses a custom allocator.
  • Always delete parsed trees after use.
  • Bound input size before parsing.
  • Validate type before reading values.

jsmn

  • Allocate enough tokens for the expected JSON shape.
  • Handle JSMN_ERROR_NOMEM, JSMN_ERROR_INVAL, and JSMN_ERROR_PART.
  • Remember that tokens reference the original input buffer.
  • Validate string lengths and value types manually.

inih

  • Implement the handler callback with strict section/key matching.
  • Decide whether duplicate keys overwrite, error, or merge.
  • Bound line length and input source.
  • Validate converted numeric values and ranges.

Common Failures

  • Heap fragmentation from repeated cJSON_Parse without hooks or cleanup.
  • Token buffer too small for jsmn.
  • Using JSON token pointers after the input buffer is freed.
  • Accepting partial config and booting with unsafe defaults.
  • Silent typo in INI key because handler ignores unknown fields.

Read the full file on GitHub · 87 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. 10d ago First seen · 87 lines · 38 tokens per session scan A 4b5c5625f329

Subscribe to this mod's changes

embedded-data-parsing-libs is a skill published in the GitHub repository easyzoom/aix-skills (31 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 643 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

container-home

Answer questions, assist with planning, and help with design decisions for Mick's off-grid shipping container lake home project. Trigger when the user mentions the container home, lake home, Stewart County, LBL, the expansion, solar system, septic permitting, or retirement property.

mickpletcher/AI-Skills · 57 tokens

digital-twin-sync

Synchronize construction digital twins with real-time data. Connect BIM models with IoT sensors, progress updates, and field data for live project visualization and monitoring.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction · 36 tokens

drone-site-survey

Process drone survey data for construction sites. Generate orthomosaics, DEMs, point clouds, calculate volumes, track progress, and integrate with BIM models for comparison.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction · 40 tokens

json-parser

Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction · 28 tokens

equipment-fleet-manager

Manage construction equipment fleet. Track utilization, maintenance, and assignments.

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction · 18 tokens

energy-efficiency

Audit a manufacturing energy management system for monitoring quality, cost optimization, and compliance. Triggers: building or reviewing industrial energy platforms, building management systems, or sustainability reporting tools.

tinh2/skills-hub-registry · 39 tokens