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.
npx agentmods add skills/richfrem/agent-plugins-skills/issue-pr-lifecycle-agentnpx skills add richfrem/agent-plugins-skills --skill issue-pr-lifecycle-agentgit clone --depth 1 https://github.com/richfrem/agent-plugins-skillsWrote 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.
[](https://agentmods.dev/skills/richfrem/agent-plugins-skills/issue-pr-lifecycle-agent)<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/issue-pr-lifecycle-agent"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/issue-pr-lifecycle-agent.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00081 | $0.00608 |
| Opus 5 | $0.00041 | $0.00304 |
| Sonnet 5 | $0.00016 | $0.00122 |
| Haiku 4.5 | $0.00008 | $0.00061 |
Grade A, and why
issue-pr-lifecycle-agent 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Issue PR Lifecycle Agent (issue-pr-lifecycle-agent)
Routing Directive: USE ONLY when orchestrating or dry-running the full lifecycle flow (Issue -> Worktree -> PR -> Close resolution). DO NOT USE for individual isolated worktree setup (use
issue-worktree-agentinstead), task scratchpads (usetask-agentinstead), or friction logging (usegithub-issue-agentinstead).
The issue-pr-lifecycle-agent skill connects git worktree execution with GitHub CLI operations (gh pr create, gh issue close) into a single, verifiable workflow pipeline.
Safety & Security Contracts
- Dry-Run by Default: Execution defaults to dry-run payload generation (
--executeflag required for live changes). - Linked Resolution: Automatically appends
Closes #NNNto PR bodies to enforce automatic resolution tracking. - Structured Flow: Sequence: Worktree Creation -> PR Submission -> Issue Closure -> Worktree Cleanup.
Usage catalog
Orchestrate End-to-End Lifecycle
- Helper Script:
plugins/dev-utils/skills/issue-pr-lifecycle-agent/scripts/issue_pr_orchestrate.py - CLI Usage:
# Dry-run payload generation for Issue #42: python3 plugins/dev-utils/skills/issue-pr-lifecycle-agent/scripts/issue_pr_orchestrate.py --issue 42 --title "Fix login bug" --body "Resolves crash on empty password" # Live execution of end-to-end lifecycle: python3 plugins/dev-utils/skills/issue-pr-lifecycle-agent/scripts/issue_pr_orchestrate.py --issue 42 --title "Fix login bug" --body "Resolves crash on empty password" --execute
Python API Interface
from plugins.dev_utils.skills.issue_pr_lifecycle_agent.scripts.issue_pr_orchestrate import (
orchestrate_lifecycle,
generate_lifecycle_payload,
)
# Generate dry-run payload
payload = generate_lifecycle_payload(issue_number=42, title="Fix bug", body="Fixes #42")
# Orchestrate lifecycle
res = orchestrate_lifecycle(issue_number=42, title="Fix bug", body="Fixes #42", dry_run=False)
What ships with it
3 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.
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.
- yesterday First seen · 64 lines · 81 tokens per session scan A 42bbce90d85a
issue-pr-lifecycle-agent is a skill published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed yesterday), licensed MIT. It adds 81 tokens to every session and 608 once invoked, about $0.0004 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 2026-09-03.
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