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 skills add gpsaggese/helpers --skill tutorial_in_60_mins.propagate_docker_changesgit clone --depth 1 https://github.com/gpsaggese/helpersWrote 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/gpsaggese/helpers/tutorial_in_60_mins.propagate_docker_changes)<a href="https://agentmods.dev/skills/gpsaggese/helpers/tutorial_in_60_mins.propagate_docker_changes"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/tutorial_in_60_mins.propagate_docker_changes/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/gpsaggese/helpers/tutorial_in_60_mins.propagate_docker_changes"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/tutorial_in_60_mins.propagate_docker_changes.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 | $0.00011 | $0.00484 |
| Opus 5.5 | $0.00004 | $0.00194 |
| Sonnet 5.5 | $0.00002 | $0.00097 |
| Haiku 4.5 | $0.00001 | $0.00048 |
Grade A, and why
tutorial_in_60_mins.propagate_docker_changes 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 yesterday.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- tutorial_in_60_mins.propagate_docker_changes — 94% identical, 12 lines differ
What it actually says
Overview
<SRC_DIR>=class_project/project_template
This skill supports two modes:
- Full sync: Make all Docker files across projects match project_template
- Last-commit sync: Propagate only the changes from the most recent commit in project_template
Mode A: Full sync
- Find each target directory
<DST_DIR>: every directory underclass_project/(other than<SRC_DIR>itself) that already has aDockerfile> find class_project -mindepth 2 -maxdepth 2 -name Dockerfile \ -not -path "class_project/project_template/*" - For each
<DST_DIR>found this way, make the Docker files<DST_DIR>/docker_*.sh,<DST_DIR>/Dockerfile,<DST_DIR>/run_jupyter.shas similar as possible to the corresponding ones in<SRC_DIR>- The goal is to reuse functions and factored out code (e.g., from
class_project/project_template/utils.sh)
- The goal is to reuse functions and factored out code (e.g., from
- If you are not sure about what the changes are
- Summarize the changes for the user in bullet points
- Ask the user to confirm
Mode B: Last-commit sync
- Use this mode when you only need to propagate the most recent changes
Check the Last Commit
- Look at the changes from the last git commit in
<SRC_DIR> - Summarize the changes for the user in bullet points
- If you are not sure about what the changes are, stop and ask the user to confirm
Propagate the Changes
- Propagate the changes in the Docker system from
<SRC_DIR>to every<DST_DIR>found via thefindcommand in Mode A
Preserve Behavior
- Make sure not to change the behavior unless needed
Update the Docker Docs
- Update
class_project/project_template/docker_scripts.README.mdexplaining how this project uses Docker to build and execute containers given the new changes
Verification (both modes)
- All the
docker_*.shscripts work, run either directly or through the relevant pytest unit tests
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.
- yesterday First seen · 52 lines · 11 tokens per session scan A f3382e1e968c
tutorial_in_60_mins.propagate_docker_changes is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 11 tokens to every session and 484 once invoked, about $0.0000 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 2026-11-06.
tutorial_in_60_mins.propagate_docker_changes compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tutorial_in_60_mins.propagate_docker_changesgpsaggese/helpers | Skill | 158 | today | Apache-2.0 | A | 11 | Claude Code |
| deploy-docker-composeomnigent-ai/omnigent | Skill | 11k | today | Apache-2.0 | A | 84 | Claude Code, Codex |
| bdd-container-updateNVIDIA-AI-Blueprints/video-search-and-summarization | Skill | 2.0k | today | Apache-2.0 | A | 117 | Cursor |
| securing-kubernetes-on-cloudxalgorix/xalgorix | Skill | 1.3k | today | Apache-2.0 | A | 80 | Claude Code, Codex |
| detecting-privilege-escalation-in-kubernetes-podsxalgorix/xalgorix | Skill | 1.3k | today | Apache-2.0 | A | 40 | Claude Code, Codex |
| docker-socket-mountPurpleAILAB/Decepticon | Skill | 6.5k | 9d ago | Apache-2.0 | B | 67 | Claude Code |
| k8s-networkingrohitg00/kubectl-mcp-server | Skill | 968 | 16d ago | MIT | A | 34 | Claude Code, Codex |