Found-Issues plugin logs bugs Claude ignores while working on other tasks

Found-Issues is a Claude Code plugin that solves a specific blindspot: coding agents (Claude included) often notice real bugs — missing null checks, leaked tokens, race conditions — while working on an unrelated task, then move on. The plugin logs those observations so they don't get lost.
How it works
The agent maintains a docs/found-issues.md file in each repo. When it spots something out of scope, it appends a one-line entry like:
- [open] 2026-05-08 src/auth.ts:88 — leaks token in error (suggested: redact)
- [fixed] 2026-05-06 lib/foo.py:42 — null check missing (PR: org/repo#41)The closure loop is fully automated. Hooks detect when a PR addresses a logged entry and annotate it. When the PR merges, a background sync flips [open] to [fixed]. If a referenced line gets deleted, tombstone detection auto-closes it. The open-issue count appears at session start and in your statusline — no manual bookkeeping.
Installation
In Claude Code, run:
/plugin marketplace add AltDoug/claude-plugins
/plugin install found-issuesThen start a new session and run /found-issues:setup — it walks you through wiring the statusline counter so the open-issue count is always visible.
Who it's for
Developers who use AI coding agents and want to catch bugs the agent notices but doesn't fix because they're out of scope.
📖 Read the full source: r/ClaudeAI
👀 See Also

SpecLock: MCP Server for Enforcing AI Coding Constraints
SpecLock is an open-source MCP server that remembers project constraints across sessions and blocks AI coding agents from violating them. Claude independently tested it with 100 adversarial tests, scoring 100/100 with zero false positives and 15.7ms per check.

Kelet: Automated Root Cause Analysis for AI Agents
Kelet is a service that automatically analyzes production AI agent failures by clustering traces and signals to identify root causes and suggest fixes. It integrates via Python/TypeScript SDKs or an installer skill and is currently free during beta.

AI Token Monitor: macOS Tool Tracks Local Claude Usage and Cost
A developer built AI Token Monitor, a macOS menu bar app that reads local Claude session files to track token usage, model distribution, and cost equivalents without API keys. The open-source tool revealed 6.5M tokens ($4,924 at API pricing) over 35 days in one user's case.

ClawPy: Minimal Single-File Python Implementation of OpenClaw with Experience Memory
A developer built ClawPy, a stripped-down Python script that implements OpenClaw's autonomous task execution mechanics with a persistent experience system that learns from past errors and successes.