Borrowing it
Nothing to install: this file belongs to TalonT-Org/AutoSkillit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TalonT-Org/AutoSkillit/main/.claude/skills/promote-to-main/SKILL.mdgit clone --depth 1 https://github.com/TalonT-Org/AutoSkillitWrote 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/talont-org/autoskillit/promote-to-main)<a href="https://agentmods.dev/skills/talont-org/autoskillit/promote-to-main"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/promote-to-main/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.
<a href="https://agentmods.dev/skills/talont-org/autoskillit/promote-to-main"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/promote-to-main.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00069 | $0.04234 |
| Opus 5 | $0.00034 | $0.02117 |
| Sonnet 5 | $0.00014 | $0.00847 |
| Haiku 4.5 | $0.00007 | $0.00423 |
Grade A, and why
promote-to-main 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 456 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Promote to Main
Orchestrate the integration-to-main promotion workflow. This skill discovers everything that changed on integration since it diverged from main, runs pre-flight quality checks, performs change inventory, generates architecture diagrams, synthesizes release notes, and creates a comprehensive promotion PR.
Arguments
/autoskillit:promote-to-main [batch_branch] [base_branch] [--dry-run]
batch_branch(optional) — source branch to promote. Defaults tointegration.base_branch(optional) — target branch. Defaults tomain.--dry-run— generate the full PR body without creating a PR.
When to Use
- When the develop branch is stable and ready to be promoted to main
- After feature PRs, bug fixes, and cleanup work have been collected and tested on develop
- This is the final gate before changes land on main
Critical Constraints
NEVER:
- Create files outside
.autoskillit/temp/promote-to-main/ - Modify any source code — this skill is read-only analysis + PR creation
- Fail silently if
ghis unavailable — outputpr_url =(empty) and exit successfully - Push or merge anything — this skill only creates the PR
- Skip pre-flight checks — a failing pre-flight must block PR creation
- Use the Bash tool for file reads — use Read, Grep, Glob for all codebase inspection
- Use
gh pr create --bodyinline — always use--body-file
ALWAYS:
- Run ALL pre-flight checks before any analysis work
- Check
gh auth statusbefore any GitHub operations - Output
pr_url = <url>as a structured token (empty string when GitHub unavailable or dry-run) - Output
verdict = <value>as a structured token - Carry forward ALL
Closes #N,Fixes #N, andResolves #Nreferences from merged PR bodies - Use
gh pr create --body-file(never inline body via--body) pr_body_pathmust be an absolute path (prepend CWD)
Workflow
Phase 0: Setup
Step 0.1: Parse Arguments
Parse optional positional arguments and flags:
batch_branch— default"develop"if absent or emptybase_branch— default"main"if absent or emptydry_run—trueif--dry-runpresent in ARGUMENTS
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.
- 10d ago First seen · 456 lines · 69 tokens per session scan A 2dd05d7061de
promote-to-main is a skill published in the GitHub repository TalonT-Org/AutoSkillit (5 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 4,234 once invoked, about $0.0003 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.
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