agentmods.dev

github-issue-pr-workflow

A GitHub workflow guide sets rules for planning changes through issues and pull requests. GitHub is a service for hosting code, reviewing changes, and coordinating development work.

In plain words
What is it for?
Use it to create issue and pull-request plans, choose branch names, define commit scope, prepare review checklists, and document testing, security, and documentation impact.
Why use it?
It gives each change a clear purpose, focused branch, review checklist, test record, and link between the issue and pull request.

Skill for Claude CodeCodex

1 4mo ago A scan 37 tokens original MIT
View the source file priyanshuchawda/codeaudit
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 skills/priyanshuchawda/codeaudit/github-issue-pr-workflow
Any agent
npx skills add priyanshuchawda/codeaudit --skill github-issue-pr-workflow
Clone the repo
git clone --depth 1 https://github.com/priyanshuchawda/codeaudit

Made for: Claude Code, Codex.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 210 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 $0.00037 $0.00210
Opus 5 $0.00018 $0.00105
Sonnet 5 $0.00007 $0.00042
Haiku 4.5 $0.00004 $0.00021

Measured yesterday against content hash b8e58f3f861e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github-issue-pr-workflow 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 yesterday.

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.

skills/github-issue-pr-workflow/SKILL.md · 36 lines

What it actually says

GitHub Issue PR Workflow

Required Flow

  1. Create or propose an issue first.
  2. Use a clean scoped branch.
  3. Keep commits focused and descriptive.
  4. Link the PR to the issue.
  5. List tests run.
  6. Describe security impact and docs impact.
  7. Merge only after clean review and verification.

Branch Names

  • fix/issue-12-api-rate-limit
  • refactor/issue-18-split-security-utils
  • docs/issue-21-evidence-map

PR Body Sections

  • Linked issue
  • Summary
  • Tests run
  • Security impact
  • Docs impact
  • Screenshots when UI changed

No auto-push, branch deletion, remote mutation, or auto-merge without explicit user approval.

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. yesterday First seen · 36 lines · 37 tokens per session scan A b8e58f3f861e

Subscribe to this mod's changes

github-issue-pr-workflow is a skill published in the GitHub repository priyanshuchawda/codeaudit (1 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 210 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 2026-08-31.

Code reviewSecurityTestingai-agentsclaudecode auditcodexcursor
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