issue-ingest

issue-ingest is a skill for Claude Code from ZaxbyHub/opencode-swarm. It costs 33 tokens per session (2,768 once invoked), scanned A, original, MIT.

A workflow for turning a GitHub issue—a reported bug, requested feature, or development task—into a precise fix specification. It covers fetching the issue, locating the relevant code, and preparing the next work phase.

In plain words
What is it for?
Use it to ingest a GitHub issue, reproduce or investigate the problem, identify its likely cause, and create a resolution plan.
Why use it?
It reduces the risk of fixing the wrong part of a repository or starting implementation before the issue is understood.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to ingest a GitHub issue, reproduce or investigate the problem, identify its likely cause, and create a resolution plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zaxbyhub/opencode-swarm/issue-ingest
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.

Any agent
npx skills add ZaxbyHub/opencode-swarm --skill issue-ingest
Clone the repo
git clone --depth 1 https://github.com/ZaxbyHub/opencode-swarm

Made for: Claude Code.

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-ingest

README.md
[![agentmods](https://agentmods.dev/badge/skills/zaxbyhub/opencode-swarm/issue-ingest/github.svg)](https://agentmods.dev/skills/zaxbyhub/opencode-swarm/issue-ingest)
Your own site
<a href="https://agentmods.dev/skills/zaxbyhub/opencode-swarm/issue-ingest"><img src="https://agentmods.dev/badge/skills/zaxbyhub/opencode-swarm/issue-ingest/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for issue-ingest

Your own site · 80×15
<a href="https://agentmods.dev/skills/zaxbyhub/opencode-swarm/issue-ingest"><img src="https://agentmods.dev/badge/skills/zaxbyhub/opencode-swarm/issue-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,768 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00033 $0.02768
Opus 5.5 $0.00013 $0.01107
Sonnet 5.5 $0.00007 $0.00554
Haiku 4.5 $0.00003 $0.00277

Measured 9d ago against content hash c0e4b79dbcc3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

issue-ingest 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 9d 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.

.claude/skills/issue-ingest/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Issue Ingest Protocol

This protocol is loaded on demand by the architect runtime. The architect prompt keeps only activation, action, and hard safety constraints; the full execution details live here.

MODE: ISSUE_INGEST

Activates when: user invokes /swarm issue <url>; OR architect receives [MODE: ISSUE_INGEST issue="<url>"] signal.

Purpose: ingest a GitHub issue, localize root cause, and produce a resolution spec. The issue URL points to a GitHub issue that describes a bug, feature request, or task to be resolved.

Flags parsed from signal:

  • plan=true → after spec generation, transition to MODE: PLAN (create implementation plan)
  • trace=true → the issue-trace runtime hook automatically drives the standard PLAN → CRITIC-GATE → EXECUTE → commit-pr ladder (implies plan=true)
  • noRepro=true → skip the reproduction step below
Phase 1: INTAKE
  1. Fetch the issue body using the GitHub CLI (gh issue view <N> --repo <owner>/<repo> --json title,body,labels,assignees,comments) or web fetch.
    • If the issue cannot be fetched (404, private repo, no gh auth, or the argument resolves to a PR not an issue), report the blocked operation explicitly and do not proceed on empty intake; fall back to any pasted issue text the user provided. Closed-issue cases proceed but note the closed state.
  2. Read .swarm/issue-reference.json as the authoritative source for the issue URL, owner, repo, number, and flags (plan/trace/noRepro). If absent, fall back to the URL from the mode signal string.
  3. Parse the issue into a normalized Intake Note with four required fields:
    • Observed behavior: what the issue reports
    • Expected behavior: what should happen instead
    • Reproduction steps: how to trigger the issue (may be absent; flag with [NEEDS REPRO] if missing)
    • Environment: platform, version, configuration context
  4. If any required field is missing and cannot be inferred from context, flag as [NEEDS REPRO].
  5. Attempt a minimal reproduction of the reported issue: record the exact commands and their output. Skip this step when noRepro=true (set via --no-repro); in that case, note that reproduction was skipped and proceed on the issue text alone. When trace=true, the issue-trace engine requires reproduction evidence OR a typed --no-repro waiver before it can leave localization and transition to PLAN: after attempting reproduction, call record_issue_reproduction with the issue number, performed: true, and the recorded commands/output_summary so the gate is satisfied. A performed: false receipt is recorded but does NOT satisfy the gate.
  6. Ask the user clarifying questions one at a time, max 6 per intake, when the issue text is ambiguous; otherwise flag the item with markers like [NEEDS REPRO] or [NEEDS CLARIFICATION] and proceed.
  7. Exit when the Intake Note is complete or all missing fields are flagged.

Read the full file on GitHub · 129 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. 9d ago Changed · +1 lines c0e4b79dbcc3
  2. 1mo ago Changed 6704924640d4
  3. 1mo ago Changed · +18 lines f0424479650b
  4. 1mo ago First seen · 110 lines · 33 tokens per session scan A 629fcf929762

Subscribe to this mod's changes

issue-ingest is a skill published in the GitHub repository ZaxbyHub/opencode-swarm (511 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 2,768 once invoked, about $0.0001 per session on Opus 5.5. 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.