Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/quay/ai-helpersnpx agentmods add skills/quay/ai-helpers/startWrote 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/quay/ai-helpers/start)<a href="https://agentmods.dev/skills/quay/ai-helpers/start"><img src="https://agentmods.dev/badge/skills/quay/ai-helpers/start.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 | $0.00041 | $0.00620 |
| Opus 5 | $0.00020 | $0.00310 |
| Sonnet 5 | $0.00008 | $0.00124 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
start 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 2d 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
Start Work on JIRA Ticket
Begin work on JIRA ticket $ARGUMENTS.
Step 0: Session Bootstrap
bash .claude/scripts/session-setup.sh
Handles acli install+auth, recommended hooks, pre-commit, and gh auth check. Runs once per session (skips on subsequent calls).
Step 1: View and Assign
bash .claude/scripts/jira-ops.sh view $ARGUMENTS
Review the ticket summary, status, and description. Then assign and transition:
bash .claude/scripts/jira-ops.sh assign $ARGUMENTS
bash .claude/scripts/jira-ops.sh transition $ARGUMENTS "ASSIGNED"
Step 2: Check Backport Requirement
bash .claude/scripts/jira-ops.sh check-version $ARGUMENTS
If Target Version is set, backporting is required after merge.
Step 3: Create Branch
DEFAULT_BRANCH="${PRIMARY_BRANCH:-$(git rev-parse --abbrev-ref origin/HEAD 2>/dev/null | sed 's|origin/||')}"
DEFAULT_BRANCH="${DEFAULT_BRANCH:-master}"
git checkout "$DEFAULT_BRANCH" && git pull origin "$DEFAULT_BRANCH"
git checkout -b $ARGUMENTS-short-description
Branch naming: <TICKET-KEY>-<kebab-case-description>. Derive the description from the ticket summary. Ask the user if it's ambiguous.
Step 4: Load Context
Based on the ticket's area, read the relevant docs. The doc mapping is project-specific — check the project's AGENTS.md for the area-to-doc table.
Common patterns:
| Area | Doc |
|---|---|
| API endpoints, auth | agent_docs/api.md |
| Database, migrations | agent_docs/database.md |
| Testing | agent_docs/testing.md |
| Architecture | agent_docs/architecture.md |
| Frontend | web/AGENTS.md or equivalent |
Step 5: Report
Summarize:
- Ticket: key, summary, status, assignee
- Backport: required or not
- Branch: name created
- Docs loaded
- Next step:
/code
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.
- 2d ago First seen · 86 lines · 41 tokens per session scan A 1dfbc02bd4af
start is a skill published in the GitHub repository quay/ai-helpers (3 stars, last pushed 19d ago), licensed MIT. It adds 41 tokens to every session and 620 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 2026-09-04.
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