agenticforge-debugging

A guide to finding and diagnosing problems in AgenticFORGE agents and their supporting systems. It covers failures in tool calls, agent loops, skill selection, memory, and TypeScript types.

In plain words
What is it for?
Use it when debugging tool errors, agent loops, skill-routing problems, memory issues, or TypeScript type errors.
Why use it?
It helps identify why an AgenticFORGE application fails or behaves unexpectedly.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/littleblacky/agenticforge/agenticforge-debugging
Any agent
npx skills add LittleBlacky/AgenticFORGE --skill agenticforge-debugging
Clone the repo
git clone --depth 1 https://github.com/LittleBlacky/AgenticFORGE

Made for: Claude Code, Codex.

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 949 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00058 $0.00949
Opus 5 $0.00029 $0.00475
Sonnet 5 $0.00012 $0.00190
Haiku 4.5 $0.00006 $0.00095

Measured 2d ago against content hash 13024adcd9b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agenticforge-debugging scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

try { return await fetch(q).then(r => r.text()); }
skills/agenticforge-debugging/SKILL.md · 110 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 110 lines · 58 tokens per session scan A 13024adcd9b8

Subscribe to this mod's changes

agenticforge-debugging is a skill published in the GitHub repository LittleBlacky/AgenticFORGE (72 stars, last pushed 2mo ago), with no licence file. It adds 58 tokens to every session and 949 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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