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/datarobot-oss/datarobot-agent-skillsnpx agentmods add skills/datarobot-oss/datarobot-agent-skills/datarobot-app-framework-cicdWrote 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/datarobot-oss/datarobot-agent-skills/datarobot-app-framework-cicd)<a href="https://agentmods.dev/skills/datarobot-oss/datarobot-agent-skills/datarobot-app-framework-cicd"><img src="https://agentmods.dev/badge/skills/datarobot-oss/datarobot-agent-skills/datarobot-app-framework-cicd/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/datarobot-oss/datarobot-agent-skills/datarobot-app-framework-cicd"><img src="https://agentmods.dev/badge/skills/datarobot-oss/datarobot-agent-skills/datarobot-app-framework-cicd.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 | $0.00058 | $0.04898 |
| Opus 5.5 | $0.00023 | $0.01959 |
| Sonnet 5.5 | $0.00012 | $0.00980 |
| Haiku 4.5 | $0.00006 | $0.00490 |
Grade A, and why
datarobot-app-framework-cicd 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 20d 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 — 471 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DataRobot Application Templates CI/CD Skill
This skill provides comprehensive guidance for setting up production-grade CI/CD pipelines for DataRobot application templates, including automated testing, review deployments, and continuous delivery.
Quick Start
Default behavior: When a user asks to "set up CI/CD" without specifying a platform or backend, always use the Simple Path below — three workflow files, two GitHub Secrets, done. Do not create infra/scripts/, do not add CI/CD tasks to infra/Taskfile.yaml, do not involve GPG encryption unless the user explicitly asks for it.
Only deviate from the simple path when the user specifies:
- A specific Pulumi state backend (Azure Blob, S3, GCS) → use
scripts/and see Implementation Pattern - GitLab CI/CD → see GitLab CI/CD Configuration
- Many secrets to manage → consider GPG approach in
scripts/
Simple Path: Pulumi Cloud + GitHub Secrets
For most data scientists and AI engineers, this is all you need. No GPG encryption, no cloud storage account, no extra scripts.
What to create in the user's repository:
-
Copy the three workflow files to
.github/workflows/:Source Destination Trigger examples/github-cd-pulumi-cloud.yml.github/workflows/cd.ymlAutomatic — every merge to mainexamples/github-deploy-pulumi-cloud.yml.github/workflows/deploy-pr.ymlManual — user picks PR branch + enters stack name (e.g. pr-42)examples/github-destroy-pulumi-cloud.yml.github/workflows/destroy.ymlManual — user enters stack name to tear down -
Create
.github/workflows/README.mdfromexamples/workflows-README.md. This is the setup guide that tells the user exactly what secrets and variables to add and how. -
Tell the user to follow the setup guide in
.github/workflows/README.md.
That's it. Do not add anything to infra/Taskfile.yaml or create infra/scripts/ for this path.
What ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/github-cd-pulumi-cloud.yml 1.1 KB
- examples/github-deploy-pulumi-cloud.yml 1.3 KB
- examples/github-destroy-pulumi-cloud.yml 1.2 KB
- examples/workflows-README.md 3.0 KB
- QUICK_REFERENCE.md 4.0 KB
- README.md 6.6 KB
- references/example-taskfile.yaml 895 B
- references/workflow-examples.md 2.5 KB
- scripts/decrypt-secrets.sh 1.2 KB runs code
- scripts/encrypt-secrets.sh 1.9 KB runs code
- scripts/github-cd.yml 2.0 KB
- scripts/github-deploy.yml 5.0 KB
- scripts/github-destroy.yml 1.9 KB
- scripts/gitlab-ci.yml 4.7 KB
- scripts/infra-README.md 6.4 KB
- scripts/pulumi-setup.sh 11 KB runs code
- scripts/setup-github-secrets.sh 3.6 KB runs code
- scripts/setup-gitlab-variables.sh 4.4 KB runs code
- scripts/taskfile-snippets.yaml 5.6 KB
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.
- 20d ago Changed scan C → A f666b9fa63b2
- 1mo ago First seen · 471 lines · 58 tokens per session scan C ff833cd03130
datarobot-app-framework-cicd is a skill published in the GitHub repository datarobot-oss/datarobot-agent-skills (32 stars, last pushed 4d ago), licensed Apache-2.0. It adds 58 tokens to every session and 4,898 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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