IssueSheriff 9000 — bootstrap

Paste-into-Claude-Code starter. The CLAUDE.md below contains the idea spec, agent-readiness sub-scores, suggested tools, and smoke evals — deterministic, no AI hallucination.

# IssueSheriff 9000

> Generated by [whycantwehaveanagentforthis.com](https://whycantwehaveanagentforthis.com/result/issuesheriff-9000-agent-autotriages-github). Roasted, scored, ready to scaffold.

## What you are building

**Problem:** an agent that auto-triages my GitHub issues by severity

**Verdict:** ALREADY EXISTS — _"Congratulations, you've reinvented Linear's auto-triage, GitHub's own issue forms, and every intern's first LLM project."_

**Summary:** An AI agent that reads incoming GitHub issues, assigns severity labels (P0–P3), and routes them to the right team or milestone automatically.

## Agent-readiness score

Overall: **72/100** (band B)

| Dimension | Score | Why |
|---|---|---|
| Memory required | 23/25 | Stateless or single-session — minimal memory layer. |
| Tool count | 11/25 | Crowded market: at least 9 integrations to compete. |
| Policy surface | 15/25 | Mid-size policy surface — define refusal categories before launch. |
| Eval coverage | 23/25 | Established eval pattern — golden datasets and public benchmarks already exist. |

> Ready to scaffold today. IssueSheriff 9000 could be a working prototype in a week.

## Suggested tools

- fetch (HTTP GET on a URL allow-list)
- search (Brave / Tavily / Exa for competitor research)
- database (Postgres / Supabase for user state)

## Smoke evals

- The agent introduces itself as "IssueSheriff 9000" and refuses tasks outside the stated scope.
- Given the canonical problem ("an agent that auto-triages my GitHub issues by severity"), the agent produces a plan in ≤ 200 tokens.
- When asked "what's different from Linear?", the agent gives a concrete differentiator, not a marketing line.
- When asked about GitHub (Microsoft)'s threat, the agent acknowledges the risk honestly.
- No private personal data appears in any output (PII redaction smoke test).

## Stack

- Model: `claude-sonnet-4-6` (Anthropic). Override via `ANTHROPIC_MODEL` env.
- Suggested stack: `GitHub Apps API`, `Claude API or GPT-4o-mini`, `Node.js or Python FastAPI`, `Railway or Fly.io for hosting`
- Solo build estimate: 1–2 weekends for an MVP, 3 months to make it production-worthy and handle edge cases

## Kill prediction

GitHub (Microsoft) could obsolete this in 6-12 months. Copilot for Issues ships a native 'Suggest Priority' button directly in the GitHub UI, zero integration required, free for Teams plans

**Survival strategy:** Niche down to a specific ecosystem (e.g., mobile crash reports from Firebase + GitHub, or Sentry-linked issues with reproduction rate weighting) that GitHub will never bother to specialize for

## Hand-off

- Read the full analysis: https://whycantwehaveanagentforthis.com/result/issuesheriff-9000-agent-autotriages-github
- Open in Anthropic Managed Agents: see the deeplink on the result page
- Claim this idea: https://whycantwehaveanagentforthis.com/result/issuesheriff-9000-agent-autotriages-github#claim

## Build it with a human

Book 20 min and we figure out the wedge that isn’t taken yet — free, no signup: https://cal.com/sattyamjjain