claude-code-config: Skill for Claude Code

.claude/skills/issue-maker/SKILL.md

issue-maker is a skill for Claude Code from auerbachb/claude-code-config. It costs 225 tokens per session (24,225 once invoked), scanned A, original, MIT.

A GitHub issue capture tool for turning a discussion into structured work items. GitHub issues are shared records for bugs, requests, and tasks.

In plain words
What is it for?
Use it to draft, refine, open, and close GitHub issues without creating branches, worktrees, or code changes.
Why use it?
It keeps the conversation focused on creating, editing, and closing issues instead of starting implementation work. It also reviews the request before creating an issue.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

This is auerbachb/claude-code-config's own configuration. It tells Claude Code how to work on claude-code-config itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-code-config configures →

Reuse

Borrowing it

Nothing to install: this file belongs to auerbachb/claude-code-config. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/auerbachb/claude-code-config/main/.claude/skills/issue-maker/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/auerbachb/claude-code-config

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-maker

README.md
[![agentmods](https://agentmods.dev/badge/skills/auerbachb/claude-code-config/issue-maker/github.svg)](https://agentmods.dev/skills/auerbachb/claude-code-config/issue-maker)
Your own site
<a href="https://agentmods.dev/skills/auerbachb/claude-code-config/issue-maker"><img src="https://agentmods.dev/badge/skills/auerbachb/claude-code-config/issue-maker/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-maker

Your own site · 80×15
<a href="https://agentmods.dev/skills/auerbachb/claude-code-config/issue-maker"><img src="https://agentmods.dev/badge/skills/auerbachb/claude-code-config/issue-maker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 225 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 24,225 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: 11 findings, up to high

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 →

  • high Prompt Injection · line 81
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Data Exfiltration · line 101
    Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.
    Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
  • high Data Exfiltration · line 169
    Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.
    Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
  • high Data Exfiltration · line 570
    Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.
    Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
  • high Data Exfiltration · line 584
    Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.
    Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
  • high Prompt Injection · line 179
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • high Privilege Escalation · line 592
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Excessive Agency · line 3
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 593
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 736
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 748
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00225 $0.24225
Opus 5.5 $0.00090 $0.09690
Sonnet 5.5 $0.00045 $0.04845
Haiku 4.5 $0.00022 $0.02423

Measured 22d ago against content hash eca6f839c94c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

issue-maker 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 22d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/resolve-log.sh, scripts/set-log.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-maker/SKILL.md · 933 lines

How it starts

The opening of the file, as written. The whole thing — 933 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/issue-maker — capture-only issue thread

This skill switches the whole thread into issue-capture mode and keeps it there. The only work that happens here is creating, editing, and closing GitHub issues. No implementation, no worktrees, no branches, no /start-issue, no in-thread CR-plan polling. Capture mode is a session invariant — it never turns off mid-thread.

TOP-LEVEL RULE — reflect before you file (NON-NEGOTIABLE)

Never pass a user's sentence straight through to gh issue create. Every issue gets the reflection pass below — the skill just no longer gates on it. Default mode auto-opens the issue, then reports the scope calls it made as decision points (Step 9a); it does not stop to ask first.

Why this is rule #1 — the LLM pass-through bias. LLMs have a strong bias toward passing input straight through the model to a quick output — the machine analogue of a human making assumptions instead of stopping to think before writing something down. Without an explicit, top-of-file guardrail, this skill will degrade into a thin wrapper around gh issue create: a user sentence in, a half-baked issue out. The reflection discipline is the entire point of the skill. Do not water it down or "optimize" it away under time pressure. Issue #691 changed where the reflection surfaces — as a post-create decision-points report instead of an upfront Q&A — not whether it happens. Treat any change that removes the reflection pass, or lets an issue be filed with no decision-points report naming the calls made, as a regression.

Run this reflection pass on every issue, before and after drafting:

  1. Scope check (narrow): "Is this tighter than it sounds — is the real ask just X?"
  2. Scope check (expand): "Is there an adjacent concern (Y) that should ride along so the change is coherent?"
  3. Split check: "This sounds like 2+ distinct issues — should it be split into subsidiary issues?"
  4. Sizing check (subagent fit): "This is one coherent concern — but can one Phase A/B/C pipeline land it as one reviewable PR?"
  5. Ambiguity: name any concrete word/phrase whose meaning materially changes the issue.

Read the full file on GitHub · 933 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 22d ago Changed · +30 lines eca6f839c94c
  2. 29d ago Changed d671f793c40a
  3. 1mo ago Changed · +48 lines ef0ca4cc0473
  4. 1mo ago Changed · +69 lines · +32 tokens per session 09363a2f9ec1
  5. 1mo ago Changed a2ea4603bcf9
  6. 1mo ago Changed · +2 lines 40e7e472338e
  7. 2mo ago First seen · 784 lines · 193 tokens per session scan A bcf20adf27c8

Subscribe to this mod's changes

issue-maker is a skill published in the GitHub repository auerbachb/claude-code-config (5 stars, last pushed 2d ago), licensed MIT. It adds 225 tokens to every session and 24,225 once invoked, about $0.0009 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 2026-08-31.