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 controlplane-com/ai-plugin --skill imagegit clone --depth 1 https://github.com/controlplane-com/ai-pluginWrote 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/controlplane-com/ai-plugin/image)<a href="https://agentmods.dev/skills/controlplane-com/ai-plugin/image"><img src="https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/image/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/controlplane-com/ai-plugin/image"><img src="https://agentmods.dev/badge/skills/controlplane-com/ai-plugin/image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 63 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00053 | $0.04150 |
| Opus 5.5 | $0.00021 | $0.01660 |
| Sonnet 5.5 | $0.00011 | $0.00830 |
| Haiku 4.5 | $0.00005 | $0.00415 |
Grade A, and why
image 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 17d 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Control Plane Images
Every org gets a private registry at ORG.registry.cpln.io — a standard Docker registry (docker login/push/pull/search all work). Pushing a tag automatically creates an image resource named NAME:TAG in the org (read-only repository, tag, digest, manifest fields; only metadata tags are editable). An image resource is never created directly — POST /org/ORG/image returns 403 "You can create an image only by pushing" — but a build can run on Control Plane instead of local Docker (cpln image build --remote), which is the answer whenever there is no Docker daemon. The recurring failures are a wrong reference form, a non-linux/amd64 image (exec format error), and a missing or mismatched pull secret.
Image references
| Source | Reference in workload spec | Pull secret |
|---|---|---|
| Your org's registry (preferred) | //image/NAME:TAG (long form /org/ORG/image/NAME:TAG) |
No — automatic |
| Your org's registry (hostname form) | ORG.registry.cpln.io/NAME:TAG — the API rewrites it to the link form on write |
No — automatic |
| Another Control Plane org | OTHER-ORG.registry.cpln.io/NAME:TAG — stays a literal external reference |
Yes (docker) |
| Public registry | Exact string: nginx:latest, ghcr.io/owner/app:v1 — never add a docker.io/ prefix |
No |
| Private external registry (ECR, GCR/GAR, private Docker Hub, ACR...) | Full host path, e.g. ACCOUNT.dkr.ecr.REGION.amazonaws.com/app:v1 |
Yes |
- "Image name" always includes the tag (
my-app:v1.0); a missing tag means:latest. Name and tag each max 128 chars; at most two:(the second only for a registry port); digest pinningNAME@sha256:HEXis supported. - Link references (
/...) must point into the same org — other orgs are reached only via their registry hostname, which is why they need a pull secret.
Build and push
--name NAME:TAG is required — the command aborts without a tag. Everything else follows from where the build runs: no Docker daemon on this machine or runner means --remote.
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.
- 17d ago Changed · -27 lines 3d805266bef8
- 24d ago Changed 2ab3f74b2642
- 25d ago Changed · +6 lines 2a847552a096
- 1mo ago First seen · 164 lines · 53 tokens per session scan A 84309f89ab24
image is a skill published in the GitHub repository controlplane-com/ai-plugin (11 stars, last pushed 3d ago), licensed MIT. It adds 53 tokens to every session and 4,150 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 2026-08-31.
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