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 agents/jeremylongworth-source/agentskills/agents.engineering-deliverygit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote 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/agents/jeremylongworth-source/agentskills/agents.engineering-delivery)<a href="https://agentmods.dev/agents/jeremylongworth-source/agentskills/agents.engineering-delivery"><img src="https://agentmods.dev/badge/agents/jeremylongworth-source/agentskills/agents.engineering-delivery.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 | $0.00000 | $0.00227 |
| Opus 5 | $0.00000 | $0.00113 |
| Sonnet 5 | $0.00000 | $0.00045 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
AGENTS.engineering-delivery 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
Use local skills as the primary routing layer for engineering delivery work.
Use issue-to-plan when turning an issue, bug report, feature request, or task
into an implementation plan with scope, acceptance criteria, tests, and risk.
Use pr-review for pull request reviews, diff reviews, pre-merge risk reviews,
and code-change feedback.
Use regression-check when a fix, feature, refactor, or release candidate needs
targeted regression coverage and release gate recommendations.
Use release-risk for deployment readiness, rollout plans, rollback plans,
monitoring, owner approvals, and go/no-go recommendations.
Use qa-test-strategy for broader test strategy and release-launch-readiness
for launch, support, communication, and operational readiness.
Use product-brainstorming-planning when requirements are broad or ambiguous.
Use concise-technical-writing for implementation plans, review summaries,
release notes, and status updates.
Default to read-first behavior. Do not merge, deploy, edit protected branches, close issues, approve releases, or change production systems without explicit approval.
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 · 25 lines · 0 tokens per session scan A 98f5ee38f11d
AGENTS.engineering-delivery is an agent published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 227 tokens. 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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