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Groq Debug Bundle · jeremylongshore | DecimalAI

devopsby jeremylongshore

Groq Debug Bundle

jeremylongshore/groq-debug-bundle

Source jeremylongshore/claude-code-plugins-plus-skills ↗License MIT

Collect Groq debug evidence for support tickets and troubleshooting.

SkillScore57Maintained

Automatic

AI Engineer packsaasgroqdebugging

Last verified 8/30/2026

What it changes

Passed 12 of 22 test cases with the skill, and 9 of 22 without it.

Without skill39%

With skill57%

Checks it passed that the model alone missed

Identifies curl and jq as required CLI tools for the diagnostic script.
Formats the API key fingerprint using total length and a 4-character prefix only.
Recommends groq-rate-limits for managing exponential backoff and rate limit troubleshooting.

and 2 more in the full report

5 fixed8 passed either way9 still failing1 broke

Pass-rate lift: +17 pp
Tokens: +21%
Agent turns: 0%
Response time: -31%

Model gemini-3.6-flashMeasured 8/30/2026v113 of 23 cases passed with skill · 22 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/jeremylongshore-groq-debug-bundle/SKILL.md https://app.decimal.ai/s/jeremylongshore-groq-debug-bundle/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add jeremylongshore-groq-debug-bundle, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/jeremylongshore-groq-debug-bundle/ and pins it in .decimal/skills.lock

decimalai skills add jeremylongshore-groq-debug-bundle

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/jeremylongshore-groq-debug-bundle/SKILL.md https://app.decimal.ai/s/jeremylongshore-groq-debug-bundle/SKILL.md

Raw file: /s/jeremylongshore-groq-debug-bundle/SKILL.md ↗ · machine-readable summary at /s/jeremylongshore-groq-debug-bundle.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 5

Prompt

What exact six text filenames are expected inside the uncompressed Groq debug directory prior to archiving?

What was checked, without and with the skill
Checked	Without skill	With skill
Includes environment.txt, connectivity.txt, rate-limits.txt, latency.txt, app-logs.txt, and config-redacted.txt in the bundle file listing.	Missed	Passed

case-18 · gemini-3.6-flash · 8/30/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md94 lines3 files

Groq Debug Bundle

Current State

!node --version 2>/dev/null || echo 'N/A' !python3 --version 2>/dev/null || echo 'N/A' !npm list groq-sdk 2>/dev/null | grep groq-sdk || echo 'groq-sdk not installed'

Overview

Collect all diagnostic information needed to resolve Groq API issues. Produces a redacted support bundle (a .tar.gz) with environment info, SDK version, connectivity test results, rate limit headers, per-model latency, and redacted application logs — everything a Groq support engineer needs, with secrets masked before the archive is written.

Prerequisites

GROQ_API_KEY set in environment
curl and jq available
Access to application logs (optional — the log step is skipped if logs/ is absent)

Instructions

The bundle is assembled by a six-step shell script. Each step appends to a file inside a timestamped $BUNDLE_DIR; the final step tars it and deletes the working copy. Run the steps in order in one shell, or paste the whole sequence into a script.

Environment — capture OS, Node/Python versions, installed Groq SDK versions, and a masked key fingerprint (length + 4-char prefix only, never the key).
Connectivity — hit GET /openai/v1/models to confirm auth and count available models.
Rate limits — send a 1-token completion and grab the x-ratelimit-*, retry-after, and x-request-id response headers.
Latency — time a minimal completion against each model of interest.
Log extraction — grep recent Groq/429/rate-limit errors from logs/*.log and mask any gsk_ keys and .env values.
Package — tar -czf the directory, remove the working copy, and print a review reminder.

The skeleton of Step 1 (the rest is in the full walkthrough):

#!/bin/bash
set -euo pipefail
BUNDLE_DIR="groq-debug-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$BUNDLE_DIR"
# ... append environment, connectivity, rate-limits, latency, logs ...

See references/implementation.md for the complete, copy-pasteable six-step script.

Track record

Benchmark

12 / 22

test cases passed, vs 9 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

jeremylongshore / claude-code-plugins-plus-skills

skills/.curated/groq-debug-bundle/SKILL.md

View on GitHub ↗

License MITImported 8/25/2026Version v1Bundled 2 files

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Ready to supercharge your AI agents?

See it in action

What's inside

Groq Debug Bundle

Current State

Overview

Prerequisites

Instructions

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills