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/arklexai/agent-first-organization/draft-prnpx skills add arklexai/Agent-First-Organization --skill draft-prgit clone --depth 1 https://github.com/arklexai/Agent-First-OrganizationWrote 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/arklexai/agent-first-organization/draft-pr)<a href="https://agentmods.dev/skills/arklexai/agent-first-organization/draft-pr"><img src="https://agentmods.dev/badge/skills/arklexai/agent-first-organization/draft-pr.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 | $0.00012 | $0.00326 |
| Opus 5 | $0.00006 | $0.00163 |
| Sonnet 5 | $0.00002 | $0.00065 |
| Haiku 4.5 | $0.00001 | $0.00033 |
Grade A, and why
draft-pr scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Draft PR
Generate a PR title and description that will pass CI checks.
Steps
1. Gather context
git branch --show-current
git log --oneline main..HEAD
git diff main..HEAD --stat
gh pr list --head "$(git branch --show-current)" --state=open --json url -q '.[0].url'
2. Read PR template
Read .github/pull_request_template.md for the required structure.
3. Generate PR title
- Format:
<type>(<scope>): <description>(Conventional Commits) - Max 72 characters
- Types: feat, fix, docs, chore, ci, build, refactor, test, perf, style, revert
- Scope is optional but recommended
4. Generate PR description
Fill in each section from the template:
- Summary (min 5 words): concise overview of what the PR does
- Description (min 10 words): why the change is needed, how it works, side effects
- Tests (min 10 words): describe what was tested, mention test commands run
5. Output
Print the generated title and full PR body in raw markdown format, ready to copy.
If an open PR already exists for this branch, offer to update it with gh pr edit.
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.
- 5d ago First seen · 46 lines · 12 tokens per session scan A 0002090be407
draft-pr is a skill published in the GitHub repository arklexai/Agent-First-Organization (699 stars, last pushed 4mo ago), licensed MIT. It adds 12 tokens to every session and 326 once invoked, about $0.0001 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 2026-08-30.
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