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/arjunprabhulal/devops-skills/continuous-deliverynpx skills add arjunprabhulal/devops-skills --skill continuous-deliverygit clone --depth 1 https://github.com/arjunprabhulal/devops-skillsWrote 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/arjunprabhulal/devops-skills/continuous-delivery)<a href="https://agentmods.dev/skills/arjunprabhulal/devops-skills/continuous-delivery"><img src="https://agentmods.dev/badge/skills/arjunprabhulal/devops-skills/continuous-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 | $0.00104 | $0.01276 |
| Opus 5 | $0.00052 | $0.00638 |
| Sonnet 5 | $0.00021 | $0.00255 |
| Haiku 4.5 | $0.00010 | $0.00128 |
Grade A, and why
continuous-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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Continuous Delivery
Continuous delivery means every merged change is, by default, in a shippable state — a human decision (or, in continuous deployment, no decision at all) is the only thing standing between a commit and production. The discipline this demands is upstream of the deploy pipeline itself: if main isn't always releasable, "delivery" is a lie and someone will eventually hit "deploy" on a broken build.
Most teams' real bottleneck isn't the deploy mechanics, it's the courage to trust that main is always good enough to ship.
Every commit on the default branch should be deployable at any moment — if it isn't, that's a defect in the pipeline, not a reason to slow down releases.
1. Make "always releasable" a property of main, not a hope
This means trunk-based development or short-lived branches, feature flags for incomplete work
instead of long-lived feature branches (see feature-flags), and a CI signal from ci-pipelines
that's trusted enough that green means go. If merging to main regularly breaks things, the fix is
smaller PRs and better CI coverage, not a slower delivery cadence — slowing down delivery treats
the symptom and lets the branch rot further between merges.
- Small, frequent merges beat big, infrequent ones — smaller diffs are easier to verify and easier to revert.
- Incomplete features ship dark behind a flag rather than living on a branch for weeks.
- A red main is a stop-the-line event, fixed or reverted before other work continues.
Done when: any commit on main can be deployed to production without someone first checking "is this actually safe."
2. Automate promotion through environments, gate deliberately
The path from build to production usually passes through named environments (dev, staging, prod) or through automated checks that substitute for them. Each gate should exist because it catches something CI structurally cannot — real infrastructure, real data volumes, a human sign-off for regulatory reasons — not as ceremony inherited from a pre-automation era. An untested manual approval step that always gets rubber-stamped is worse than no gate: it adds latency and gives false confidence that a human is actually checking.
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 · 105 lines · 104 tokens per session scan A 9e8cbee0ead7
continuous-delivery is a skill published in the GitHub repository arjunprabhulal/devops-skills (3 stars, last pushed 11d ago), licensed MIT. It adds 104 tokens to every session and 1,276 once invoked, about $0.0005 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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