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.
git clone --depth 1 https://github.com/synaptiai/synapti-marketplaceWrote 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/commands/synaptiai/synapti-marketplace/gh-start-auto)<a href="https://agentmods.dev/commands/synaptiai/synapti-marketplace/gh-start-auto"><img src="https://agentmods.dev/badge/commands/synaptiai/synapti-marketplace/gh-start-auto/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/commands/synaptiai/synapti-marketplace/gh-start-auto"><img src="https://agentmods.dev/badge/commands/synaptiai/synapti-marketplace/gh-start-auto.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 | $0.00031 | $0.05664 |
| Opus 5 | $0.00015 | $0.02832 |
| Sonnet 5 | $0.00006 | $0.01133 |
| Haiku 4.5 | $0.00003 | $0.00566 |
Grade B, and why
gh-start-auto scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
[ -z "$FEATURE_PATTERN" ] && FEATURE_PATTERN=$(jq -r '.conventions.branchPatterns.feature // empty' "$HOME/.claude/settings.gh-workflow.json" 2>/dev/null) How it starts
The opening of the file, as written. The whole thing — 560 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autonomous Start Work on Issue #$ARGUMENTS
Fully autonomous pipeline: assigns issue, creates branch, implements, reviews iteratively until zero findings, then creates PR. Only prompts the user for final PR creation approval.
Tool Usage: This workflow uses TaskCreate/TaskUpdate for tracking, dispatches agents for review, and uses AskUserQuestion ONLY for PR creation approval and unrecoverable escalations.
Contract
GOAL: PR created with zero P1/P2/P3 review findings, all acceptance criteria met, all quality gates passed. Testable: gh pr view --json number,state returns a valid open PR AND the final self-review shows 0 findings.
CONSTRAINTS:
- Read CLAUDE.md before starting; follow all project conventions
- Never skip quality gates
- Never leave placeholder/mock/stub code
- Must iterate review-fix loops until 0 findings or max iterations
- Only prompt user for PR creation approval (all other decisions auto-defaulted)
- If max review iterations reached with remaining findings, escalate to user
- When asserting code behaves a certain way, cite the specific file:line. If unable to cite, mark as UNVERIFIED
FORMAT: Task-based progress tracking using TaskCreate/TaskUpdate.
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.
- today First seen · 560 lines · 31 tokens per session scan B 87d7af2aedcb
gh-start-auto is a command published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed today), licensed Apache-2.0. It adds 31 tokens to every session and 5,664 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-10.
Other commands, from other repositories
create-worktree
Follow these steps to create a git worktree.
release
Release manager for frontend and mobile. Writes App Store notes, user-facing changelog, flags stale docs and landing copy. Actions: notes | changelog | docs | sync.
pr
Prepare and open a pull request the senior way: gate, template, scrubbed, everything visible.
status
The state of play, computed fresh: branch, dirty files, the active sprint, open work, index freshness.
triage
Triages a PR comment — from a bot (Copilot, CI) or a human reviewer. Fetches the comment and diff via gh CLI, classifies it, applies the fix directly to the file if valid, posts a reply on the thread, and resolves it. Run from inside the repo.
done
Finish a task - document, create PR or merge, close.