issue

A workflow for investigating a bug, rating its severity, and choosing the appropriate fix process.

In plain words
What is it for?
Use it to analyze symptoms, test possible causes, create an issue record, and route the problem to a hotfix, bugfix, new workstream, or later review.
Why use it?
It turns an unclear bug report into a likely cause, impact level, and defined next action.

Command

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 commands/fall-out-bug/sdp/issue
Clone the repo
git clone --depth 1 https://github.com/fall-out-bug/sdp
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 209 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 $0.00014 $0.00209
Opus 5 $0.00007 $0.00105
Sonnet 5 $0.00003 $0.00042
Haiku 4.5 $0.00001 $0.00021

Measured yesterday against content hash 7d162091031a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

issue 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.

prompts/commands/issue.md · 34 lines

What it actually says

/issue — Analyze & Route Issues

When calling /issue "description":

  1. Load full prompt: @.claude/skills/issue.md
  2. Systematic debugging (5 phases):
    • Symptom analysis
    • Hypothesis formation
    • Systematic elimination
    • Root cause isolation
    • Impact chain analysis
  3. Classify severity (P0/P1/P2/P3)
  4. Route to appropriate fix
  5. Create issue file
  6. Create GitHub issue (if gh available)

Quick Reference

Input: Bug description Output: Issue file + Routing recommendation

Routing:

  • P0 CRITICAL → /hotfix
  • P1 HIGH → /bugfix
  • P2 MEDIUM → New WS
  • P3 LOW → Defer

Next: /hotfix or /bugfix depending on severity

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 · 34 lines · 14 tokens per session scan A 7d162091031a

Subscribe to this mod's changes

issue is a command published in the GitHub repository fall-out-bug/sdp (19 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 209 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.