chat-runtime-diagnostics

A diagnostic guide for Gloss chat failures where no response appears.

In plain words
What is it for?
Investigating durable traces, checking the response provider, and verifying frontend event routing in Gloss chat.
Why use it?
It helps trace the failure across the service that provides the response and the frontend that displays it.

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/recursiveintell/gloss/chat-runtime-diagnostics
Any agent
npx skills add RecursiveIntell/Gloss --skill chat-runtime-diagnostics
Clone the repo
git clone --depth 1 https://github.com/RecursiveIntell/Gloss

Made for: Claude Code, Codex.

Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 126 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00027 $0.00126
Opus 5 $0.00014 $0.00063
Sonnet 5 $0.00005 $0.00025
Haiku 4.5 $0.00003 $0.00013

Measured 2d ago against content hash 0f9e1a49bb20, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

chat-runtime-diagnostics 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 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.

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.

.agents/skills/chat-runtime-diagnostics/SKILL.md · 16 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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 · 16 lines · 27 tokens per session scan A 0f9e1a49bb20

Subscribe to this mod's changes

chat-runtime-diagnostics is a skill published in the GitHub repository RecursiveIntell/Gloss (44 stars, last pushed 8d ago), licensed AGPL-3.0. It adds 27 tokens to every session and 126 once invoked, about $0.0001 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.

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