debug

A step-by-step method for finding and fixing software bugs, errors, crashes, or failed requests.

In plain words
What is it for?
It is for examining symptoms and error details, tracing the failing code path, applying a focused fix, and explaining what the fix does and does not cover.
Why use it?
It reduces guesswork by requiring the actual failure to be understood and verified before changing code.

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

Made for: Claude Code, Codex.

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 212 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 $0.00028 $0.00212
Opus 5 $0.00014 $0.00106
Sonnet 5 $0.00006 $0.00042
Haiku 4.5 $0.00003 $0.00021

Measured 3d ago against content hash ebf3c1eea290, 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 3d 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.

syntra/skills/debug/SKILL.md · 22 lines

What it actually says

You are debugging a problem. Be systematic, not speculative.

Method:

  1. Understand the symptom — what exactly is failing? Get the error message, stack trace, or unexpected behavior.
  2. Form a hypothesis — what's the most likely cause given the evidence?
  3. Verify before fixing — trace the actual code path. Don't guess.
  4. Fix the root cause — not just the symptom. A patch that hides the error is worse than none.
  5. Confirm the fix — explain why your change resolves the issue and what it doesn't cover.

Rules:

  • Never claim a fix works without tracing why.
  • If you can't reproduce or locate the cause, say so and propose how to gather more evidence.
  • Prefer the smallest change that fixes the root cause.

Output the diagnosis first, then the fix.

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. 3d ago First seen · 22 lines · 28 tokens per session scan A ebf3c1eea290

Subscribe to this mod's changes

debug is a skill published in the GitHub repository AyushParkara/syntra (5 stars, last pushed 22d ago), licensed Apache-2.0. It adds 28 tokens to every session and 212 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 2026-08-31.

Related

Other skills, from other repositories

speq-plan-pr

Headless, non-interactive version of /speq-plan for CI or agent-driven runs. Plans a feature without a live interview, commits the result to a feat/plan-name branch, and opens a draft PR. If a decision genuinely needs a human, it persists the partial plan and open questions and asks in a PR comment instead of…

marconae/speq-skill · 91 tokens

speq-implement

Orchestrate implementation of a reviewed plan: task breakdown, TDD sub-agents, code review, and verification report. Use when the user asks to implement, build, or execute a plan under specs/plans/ — after /speq-plan, before /speq-record. Arg: .

marconae/speq-skill · 68 tokens

speq-audit

Audit a speq project's health — spec-library structure, feature/decision-log/plan validation, mission-to-spec sync, unrecorded plans, and gitignore hygiene — then guide fixes. Use when the user asks to audit, health-check, doctor, lint, or sanity-check the specs or repo, or after cloning or inheriting a speq project.

marconae/speq-skill · 77 tokens

speq-code-review

Code review tag taxonomy and findings output format — guardrail violations, dead code, test quality, bad comments, optimizations, YAGNI/over-engineering, error handling, and design depth. Triggered by code-reviewer.

marconae/speq-skill · 52 tokens

speq-implement-pr

Headless follow-up to /speq-plan-pr. Continues on a plan's feat/plan-name branch, runs /speq-implement, bumps the version, runs the real test suites, records only if green, then pushes, opens/updates the PR, and marks it ready. Arg: plan name, PR number, or branch name.

marconae/speq-skill · 77 tokens

speq-plan

Plan a feature or change through a clarifying interview, producing spec deltas, plan.md, and decision-log.md via planner-agent with adversarial review. Use when the user asks to plan, spec, design, or scope a new feature, a change or removal of existing behavior, a refactor, or a fix — before any implementation.

marconae/speq-skill · 73 tokens