python-debugging

A guide for fixing failing tests in Python programs.

In plain words
What is it for?
Use it when debugging a Python test failure and changing the code or test to make it pass.
Why use it?
It helps identify and correct problems that make Python tests fail.

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/loveca/tiny-claude-code/python-debugging
Any agent
npx skills add Loveca/tiny-claude-code --skill python-debugging
Clone the repo
git clone --depth 1 https://github.com/Loveca/tiny-claude-code

Made for: Claude Code, Codex.

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 75 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 $0.00000 $0.00075
Opus 5 $0.00000 $0.00037
Sonnet 5 $0.00000 $0.00015
Haiku 4.5 $0.00000 $0.00007

Measured yesterday against content hash 17c07e102ad2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-debugging 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.

examples/skills/python-debugging/SKILL.md · 13 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. yesterday First seen · 13 lines · 0 tokens per session scan A 17c07e102ad2

Subscribe to this mod's changes

python-debugging is a skill published in the GitHub repository Loveca/tiny-claude-code (2 stars, last pushed 8d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 75 tokens. 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.

Related

Other skills, from other repositories

fable-method

A 7-step problem-solving discipline loop that gives any model structured thinking: classify the ask, define done, gather evidence, decide, act surgically, verify by observation, report outcome-first. Use when the user says 'fable-method', or proactively when starting any multi-step task that no task-specific skill…

ardhaecosystem/fable-method · 77 tokens

fable-judge

Adversarial verification of finished work. Treats any 'done' claim as a set of claims to verify by re-running everything yourself. Use when someone reports work complete and you must gate it: load this before trusting a completion report. Subcommands: suite runs a trap suite against any skill/model.

ardhaecosystem/fable-method · 69 tokens

fable-loop

The orchestrated version of fable-method: runs the same decide-act-verify-report loop but fans out parallel evidence subagents in planning and adversarial attacker subagents in verification. Four stages - PLAN, EXECUTE, VERIFY, AUDIT/REPORT - with a decision gate after the plan and a hard 3-cycle bound on failed…

ardhaecosystem/fable-method · 108 tokens

fable-domain

Use when extending the fable-method problem-solving loop into a non-code domain (marketing, research, data analysis, ops). Generates a domain adapter bundle: workflow+flowchart, adapter, trap fixture, smoke eval. Refuses licensed/harm-causing domains, stops when no adapter is needed, and verifies its own output before…

ardhaecosystem/fable-method · 73 tokens

dsh-pre-push-checks

Use before pushing, force-pushing, marking ready for review, or claiming checks pass on a deepseek-harness branch, and immediately after gh stack sync publishes rewritten branches, to select the smallest tests and checks that cover the outgoing or just-published diff without reflexively running the full repository…

SparkElf/deepseek-harness-plus · 68 tokens

cordis-plugin-development

Create, modify, debug, or extend dynamic Cordis Plugins, including Host Services and Events, Client Slot and theme UI, Package-private Client-to-Host calls, dynamic Tools, version updates, approval failures, and runtime diagnostics. Use this Skill to route a user request to the correct platform and Inspect Provider…

SparkElf/deepseek-harness-plus · 80 tokens