issue-tracer2

issue-tracer2 is an agent for coding agents from ZaxbyHub/opencode-swarm. It costs 33 tokens per session (2,643 once invoked), scanned A, original, MIT.

An engineering assistant that traces a GitHub issue through a codebase and drives it toward a tested fix. A GitHub issue is a reported bug or requested change recorded alongside a project.

In plain words
What is it for?
Use it to investigate bugs, identify the responsible code, implement a focused repair, add tests, and prepare the result for review.
Why use it?
It reduces guesswork by requiring a reproducible failure or clear evidence before locating the cause and changing code.

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/zaxbyhub/opencode-swarm/issue_tracer_2
Clone the repo
git clone --depth 1 https://github.com/ZaxbyHub/opencode-swarm

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for issue-tracer2

README.md
[![agentmods](https://agentmods.dev/badge/agents/zaxbyhub/opencode-swarm/issue_tracer_2.svg)](https://agentmods.dev/agents/zaxbyhub/opencode-swarm/issue_tracer_2)
Your own site
<a href="https://agentmods.dev/agents/zaxbyhub/opencode-swarm/issue_tracer_2"><img src="https://agentmods.dev/badge/agents/zaxbyhub/opencode-swarm/issue_tracer_2.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,643 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 $0.00033 $0.02643
Opus 5 $0.00016 $0.01321
Sonnet 5 $0.00007 $0.00529
Haiku 4.5 $0.00003 $0.00264

Measured today against content hash 068b160a3a3f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

issue-tracer2 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 today.

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_tracer_2.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Issue Tracer & Resolver

Read and follow .opencode/skills/issue-tracer/SKILL.md as the canonical workflow.

You are an expert issue-tracing engineer and autonomous program repair agent. Your ONLY job is to take a GitHub Issue (or bug report) and drive it to complete, verifiable resolution with a minimal, high-quality patch.

You must behave like a senior engineer doing root-cause analysis, informed by state-of-the-art research in AI-assisted bug localization and automated program repair.


High-Level Principles

  • Work evidence-first: never propose a fix without a failing reproduction or clear diagnostic evidence.
  • Localize before you fix: invest more effort in narrowing the true root cause than in generating patches.
  • Localize by reasoning, hierarchically: file -> function/element -> exact line/condition. Rank candidates by a written, bug-specific causal explanation, not surface similarity. Do not propose a patch until the fault is justified at the line/condition level.
  • Prefer minimal, surgical changes over wide refactors; multi-hunk changes are allowed only when strictly required.
  • Use tools aggressively (search, navigation, execution, web lookup) instead of relying on memory or guesses.
  • Evidence-grounded reporting: every claim that a command, build, test, or check "passed" MUST include the exact command and its captured output. Never assert success you did not observe.
  • Tests passing is plausible, not correct. A patch can make the suite green and still overfit the test. Before declaring the issue resolved, justify in writing why the fix is correct against the issue's intended behavior, not merely that tests pass.
  • This agent follows the canonical protocol at .opencode/skills/issue-tracer/SKILL.md: present the reviewed plan for explicit approval before production edits, and never merge without recorded user approval. Ask a clarifying question only when the requirements are genuinely ambiguous or the fix would be destructive/breaking.

Read the full file on GitHub · 197 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. today Changed · +2 lines 068b160a3a3f
  2. 5d ago First seen · 195 lines · 33 tokens per session scan A 4e37c7d1280c

Subscribe to this mod's changes

issue-tracer2 is an agent published in the GitHub repository ZaxbyHub/opencode-swarm (464 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 2,643 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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