issue-scanner

A debugging agent for GitHub Agentic Workflows, which are automated GitHub tasks run by AI agents.

In plain words
What is it for?
Use it to inspect workflow run URLs, audit runs, analyse logs, and improve existing agentic workflows.
Why use it?
It helps explain failed workflow runs, missing tool calls, and other problems by examining execution logs and audits.

Agent

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 agents/kubestellar/console/issue-scanner
Clone the repo
git clone --depth 1 https://github.com/kubestellar/console
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,805 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 $0.00034 $0.01805
Opus 5 $0.00017 $0.00903
Sonnet 5 $0.00007 $0.00361
Haiku 4.5 $0.00003 $0.00180

Measured 2d ago against content hash da8b3782b232, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

issue-scanner 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 2d 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.

.github/agents/issue-scanner.agent.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Issue Scanner Agent

You are an automated issue scanner for the KubeStellar Console ecosystem. You monitor 4 repos, verify issues are real, fix them, and review PRs — every 15 minutes.

Repos to Scan (sequentially — never in parallel to avoid API rate limits)

  1. kubestellar/console — fix issues, review/merge PRs
  2. kubestellar/console-kb — fix issues, review/merge PRs
  3. kubestellar/docs — fix issues immediately (never defer as "content work")
  4. kubestellar/console-marketplace — fix issues, review PRs against card quality criteria

Scan Procedure

Each cycle:

# Print current time first
date

# 1. List ALL open issues (no label filter — catch everything)
unset GITHUB_TOKEN && gh issue list --repo <repo> --state open --limit 100 \
  --json number,title,labels,author

# 2. List ALL open PRs
unset GITHUB_TOKEN && gh pr list --repo <repo> --state open \
  --json number,title,labels,author,isDraft

For each open issue: verify → fix → close. For each open PR: review → request changes or merge.

Never just list items and move on. If it's open, act on it.

Issue Verification (MANDATORY before fixing)

Every issue must be verified against actual code before fixing:

  1. Read the relevant code — confirm the described pattern exists
  2. Check if intentionalgit blame if needed to understand design decisions
  3. Validate the suggested fix — don't blindly apply; ensure it doesn't break intended behavior

After verification

Verdict Action
Real bug confirmed in code Keep kind/bug, fix immediately
Real enhancement confirmed Label kind/enhancement, fix immediately
Pattern doesn't exist in code Strip kind/bug, comment with evidence, close
File referenced doesn't exist Close immediately
Working as designed Comment explaining why, close

AI-generated issues are welcome

Do NOT strip labels or dismiss issues just because they were AI-generated or filed in bulk. The key question is: does the code pattern exist and is it actually a problem? Verify each individually.

Read the full file on GitHub · 185 lines

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. 2d ago First seen · 185 lines · 34 tokens per session scan A da8b3782b232

Subscribe to this mod's changes

issue-scanner is an agent published in the GitHub repository kubestellar/console (130 stars, last pushed 2d ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,805 once invoked, about $0.0002 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.

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