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embedded-data-parsing-libs

Use when integrating, porting, configuring, or debugging embedded C data parsers such as cJSON, jsmn, or inih on MCU projects

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Prix non confirmé★ 31 Stars GitHubRegistre mis à jour · 11 sept. 2026agent-skill

Vue d’ensemble

Use when integrating, porting, configuring, or debugging embedded C data parsers such as cJSON, jsmn, or inih on MCU projects

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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.

Verification

Before claiming parser integration works:

State parser, allocation policy, max input size, and schema assumptions.
Test valid input, missing fields, wrong types, malformed input, and oversize input.
Confirm memory is released or static buffers are bounded.
Confirm unknown fields and duplicate keys behavior.

Example

User:

想用 cJSON 解析串口发来的配置。

Agent:

Asks for max payload size, schema, allocator policy, and malformed-input behavior.
Uses custom hooks if needed and validates each field type.
Tests good JSON, missing keys, bad types, and oversized payloads.

Voir la source ↗

Métadonnées du fichier

name: embedded-data-parsing-libs
description: Use when integrating, porting, configuring, or debugging embedded C data parsers such as cJSON, jsmn, or inih on MCU projects

Voir le texte original

---
name: embedded-data-parsing-libs
description: Use when integrating, porting, configuring, or debugging embedded C data parsers such as cJSON, jsmn, or inih on MCU projects
---

# 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.

## Verification

Before claiming parser integration works:

- State parser, allocation policy, max input size, and schema assumptions.
- Test valid input, missing fields, wrong types, malformed input, and oversize input.
- Confirm memory is released or static buffers are bounded.
- Confirm unknown fields and duplicate keys behavior.

## Example

User:

```text
想用 cJSON 解析串口发来的配置。
```

Agent:

1. Asks for max payload size, schema, allocator policy, and malformed-input behavior.
1. Uses custom hooks if needed and validates each field type.
1. Tests good JSON, missing keys, bad types, and oversized payloads.

Examiner la source

Prix et coûts d’utilisation

Obtenir le skill: Prix non confirmé
L’utiliser: Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
Licence: MIT
Prix non confirmé: Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.

Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 31 GitHub stars
Stars/forks activity: 31 stars, 2 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéContrôle statique

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: easyzoom/aix-skills
Licence: MIT
Version: Unknown
Dernier push GitHub: 17 juil. 2026
Registre mis à jour: 11 sept. 2026
Chemin des instructions: skills/embedded-data-parsing-libs/SKILL.md @ bb4c9bf475be

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

50/100

Revue nécessaire

Confiance

61/100

Sandbox uniquement

Audit

69/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
L’approbation de revue IA est absente
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 31 GitHub stars
Stars/forks activity: 31 stars, 2 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Verified installs: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

Accès agent

L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.

Ouvrir l’API d’installation Format texte LLM Ouvrir Manifest Plan de résolution auto

Plus de détails

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Créateur: easyzoom
Source: easyzoom/aix-skills
Indexé par: Index communautaire OpenAgentSkill

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