debug

A debugging guide for tracing ServalSheets failures through its four processing layers, from the incoming request to the Google API.

In plain words
What is it for?
Use it to analyze an error or failing test, compare the code with working examples, and get a minimal fix pointing to the relevant file and line.
Why use it?
It helps locate the exact layer and execution path where an unexpected test failure, schema mismatch, or other error begins.

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/khill1269/servalsheets/debug
Any agent
npx skills add khill1269/servalsheets --skill debug
Clone the repo
git clone --depth 1 https://github.com/khill1269/servalsheets

Made for: Claude Code, Codex.

Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 193 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00040 $0.00193
Opus 5 $0.00020 $0.00097
Sonnet 5 $0.00008 $0.00039
Haiku 4.5 $0.00004 $0.00019

Measured yesterday against content hash c3a36c3cfbb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

debug 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • debug — 100% identical, 0 lines differ
.claude/skills/debug/SKILL.md · 19 lines

What it actually says

Use the debug-tracer agent to trace this failure: $ARGUMENTS

The tracer will:

  1. Identify which layer the failure is in (MCP/validation → handler → service → Google API)
  2. Trace the exact execution path from entrypoint to failure
  3. Compare against similar working code
  4. Propose a minimal fix with the exact file:line to change

If no error is provided, ask the user to paste the error message or failing test output.

The 4-layer pipeline: MCP Request → tool-handlers.tshandlers/*.tsgoogle-api.ts

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. yesterday First seen · 19 lines · 40 tokens per session scan A c3a36c3cfbb5

Subscribe to this mod's changes

debug is a skill published in the GitHub repository khill1269/servalsheets (0 stars, last pushed 9d ago), licensed MIT. It adds 40 tokens to every session and 193 once invoked, about $0.0002 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 2026-08-31.

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