process_issues

process_issues is a skill for Claude Code from markmhendrickson/neotoma. It costs 6 tokens per session (1,287 once invoked), scanned A, original, MIT.

A workflow for handling the Neotoma issue queue from open-issue discovery through reproduction or follow-up. It can create plans, open pull requests, create local worktrees, request missing details, close test-only issues, or open security advisories when appropriate.

In plain words
What is it for?
Use it to review open issues, reproduce problems in a pull request or isolated worktree, ask for missing context, clean up test-only reports, or escalate security issues.
Why use it?
It turns a list of reported problems into defined next actions while respecting the configured reporting mode and filtering out queue items that are not actual issues.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

Good fit Use it to review open issues, reproduce problems in a pull request or isolated worktree, ask for missing context, clean up test-only reports, or escalate security issues.

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Install with agentmods
npx agentmods add skills/markmhendrickson/neotoma/process_issues
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 markmhendrickson/neotoma --skill process_issues
Clone the repo
git clone --depth 1 https://github.com/markmhendrickson/neotoma

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 process_issues

README.md
[![agentmods](https://agentmods.dev/badge/skills/markmhendrickson/neotoma/process_issues/github.svg)](https://agentmods.dev/skills/markmhendrickson/neotoma/process_issues)
Your own site
<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/process_issues"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/process_issues/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 process_issues

Your own site · 80×15
<a href="https://agentmods.dev/skills/markmhendrickson/neotoma/process_issues"><img src="https://agentmods.dev/badge/skills/markmhendrickson/neotoma/process_issues.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 6 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,287 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 6
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 $0.00006 $0.01287
Opus 5.5 $0.00002 $0.00515
Sonnet 5.5 $0.00001 $0.00257
Haiku 4.5 $0.00001 $0.00129

Measured 1mo ago against content hash f8c500cd4e6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

process_issues 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 1mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/process_issues/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Process Issues

Use this skill to work the Neotoma issue queue end-to-end.

For each open issue, the skill should create or update one or more plan entities, then do one of three things:

  • Open a PR for a public-release reproduction.
  • Create a local worktree for a local commit or branch reproduction.
  • Post an add_issue_message asking for missing context when the reproduction environment is unclear.
  • Close any clearly test-only issues that the queue surfaces.
  • Open a related GitHub security advisory when the issue is a security issue.

Workflow

  1. Discover open issues with neotoma issues list --state open (or the current CLI equivalent when the flag shape differs).
  2. Honor reporting mode before any execution:
    • off -> generate and store plans only
    • consent -> ask before executing a per-issue plan
    • proactive -> execute safe plans autonomously
  3. Filter queue artifacts before reproduction work:
    • Exclude open PRs or PR URLs accidentally surfaced by the queue command; do not route them through the issue workflow.
    • Identify clearly test-only issues using queue context such as labels like test, test-flow, test-cleanup, or live-issues-tooling, and titles/descriptions that indicate sample/live/public test issues rather than product bugs.
    • For each test-only issue, create or update a cleanup plan entity, then honor reporting mode:
      • off -> store the cleanup plan only
      • consent -> ask before closing
      • proactive -> close the issue immediately with a brief cleanup comment
    • Report closed test issues in the final aggregate output.
  4. Spawn parallel subagents with a default concurrency cap of 4, one non-test issue per subagent.
  5. Per issue:
    • Load the issue snapshot, conversation thread, and any reporter environment fields.
    • Classify the reproduction environment as public_release, local_commit, local_branch, or unknown.
    • Classify whether the issue is a security issue based on labels, title/body, affected surface, or prior issue/advisory context.
    • If the environment is missing, conflicting, or still unreproducible, call add_issue_message with a structured request for the missing detail and mark the plan awaiting_input.
    • Otherwise, synthesize and store a plan entity linked to the source issue and relevant conversation_message rows.
    • If the issue is a security issue, create a related GitHub security advisory before publishing other public artifacts:
      • Reuse an existing related advisory when one already exists.
      • Otherwise open a new draft advisory with a minimal, redacted summary, affected versions/surfaces, reproduction notes, and mitigation status.
      • Record the advisory URL or identifier in the plan and include it in the final aggregate report.
    • If the plan touches schema, security, foundation docs, or an ambiguous architectural boundary, stop and ask instead of executing.
    • If execution is safe and allowed by reporting mode:
      • public_release -> branch from main, implement and test the change, then open a PR. Public issues may include Fixes #<github_number>; private issues must use neutral wording with no private identifiers.
      • local_commit or local_branch -> create a detached git worktree, initialize it, implement and test the change there, then report the worktree_path.
  6. Aggregate subagent outcomes and report created plans, closed test issues, advisories, worktrees, PRs, and outstanding information requests.
  7. Summarize comprehensively for the user after each /process-issues run:
    • Include the set of issues reviewed in the run.
    • For each issue, state the current status, classification, and the concrete action taken so far.
    • For security issues, state whether a related advisory was created, reused, or is still blocked.
    • Call out any blocker, missing context, or user decision needed to make more forward progress.
    • Separate "completed / no further action needed now" issues from "still active / blocked" issues.
    • End with a concise "What I need from you" section when any issue requires user input, branch guidance, reproduction detail, environment confirmation, or prioritization.

Read the full file on GitHub · 88 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. 1mo ago First seen · 88 lines · 6 tokens per session scan A f8c500cd4e6d

Subscribe to this mod's changes

process_issues is a skill published in the GitHub repository markmhendrickson/neotoma (34 stars, last pushed yesterday), licensed MIT. It adds 6 tokens to every session and 1,287 once invoked, about $0.0000 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.