logging-and-error-reporting

A guide to logging and error reporting in Warp, including choosing log levels and sending errors to Sentry, a service that collects application errors.

In plain words
What is it for?
Use it when adding or reviewing logs, error reports, or Sentry reports in Warp.
Why use it?
It helps developers record useful failures without exposing sensitive information or reporting problems in the wrong way.

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/warpdotdev/warp/logging-and-error-reporting
Any agent
npx skills add warpdotdev/warp --skill logging-and-error-reporting
Clone the repo
git clone --depth 1 https://github.com/warpdotdev/warp

Made for: Claude Code, Codex.

Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,505 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 $0.00075 $0.05505
Opus 5 $0.00037 $0.02753
Sonnet 5 $0.00015 $0.01101
Haiku 4.5 $0.00007 $0.00551

Measured 2d ago against content hash 40c1589a9e6e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

logging-and-error-reporting 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/logging-and-error-reporting/SKILL.md · 244 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 · 244 lines · 75 tokens per session scan A 40c1589a9e6e

Subscribe to this mod's changes

logging-and-error-reporting is a skill published in the GitHub repository warpdotdev/warp (64,713 stars, last pushed today), licensed AGPL-3.0. It adds 75 tokens to every session and 5,505 once invoked, about $0.0004 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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