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.
git clone --depth 1 https://github.com/kubev2v/forklift-console-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/rules/kubev2v/forklift-console-plugin/operator)<a href="https://agentmods.dev/rules/kubev2v/forklift-console-plugin/operator"><img src="https://agentmods.dev/badge/rules/kubev2v/forklift-console-plugin/operator/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/rules/kubev2v/forklift-console-plugin/operator"><img src="https://agentmods.dev/badge/rules/kubev2v/forklift-console-plugin/operator.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 | $0.00020 | $0.03292 |
| Opus 5.5 | $0.00008 | $0.01317 |
| Sonnet 5.5 | $0.00004 | $0.00658 |
| Haiku 4.5 | $0.00002 | $0.00329 |
Grade A, and why
operator 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 29d 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 — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Forklift Operator
Analyzed from commit:
baf9c7bcc307ed9358ad59886a5536366a050012on 2026-09-17 Source paths:operator/
Package Purpose
The Forklift operator is an Ansible-based operator (operator-sdk) that watches the ForkliftController CRD and reconciles all Forklift components into the target namespace. It uses a single Ansible role (forkliftcontroller) with Jinja2 templates. The CR's .spec fields map to Ansible variables that override defaults in roles/forkliftcontroller/defaults/main.yml.
Key Types and Structs
ForkliftController CRD
- Group:
forklift.konveyor.io, Version:v1beta1, Kind:ForkliftController - Watched resource defined in
operator/watches.yaml - Finalizer:
forklift.konveyor.io/finalizer(cleanup on deletion viafinalize: true)
type ForkliftControllerSpec struct {
// Feature gates (string "true"/"false")
FeatureUIPlugin, FeatureValidation, FeatureVolumePopulator, FeatureCopyOffload,
FeatureOCPLiveMigration, FeatureOVAApplianceManagement, FeatureVMwareSystemSerialNumber,
FeatureAuthRequired, FeatureCLIDownload, FeatureMCPServer,
FeatureVSphereVMwareDriverRemoval, FeatureWindowsRegistryNetworkConfig,
FeatureWindowsWaitForReboot, FeatureUseConversionCR string
// Container image overrides (FQIN)
ControllerImageFQIN, VirtV2VImageFQIN, VirtV2VImageXFSFQIN,
DeepInspectionImageFQIN, DeepInspectionImageXFSFQIN, VDDKImage,
APIImageFQIN, CLIDownloadImageFQIN, UIPluginImageFQIN, ValidationImageFQIN,
PopulatorControllerImageFQIN, PopulatorOvirtImageFQIN, PopulatorOpenstackImageFQIN,
PopulatorVSphereCopyOffloadImageFQIN, OVAProviderServerFQIN, HyperVProviderServerFQIN,
MustGatherImageFQIN, OVAProxyFQIN string
// Controller tuning, AAP settings, MCP server config, resource limits...
}
Feature Flags
Feature flags flow from the ForkliftController CR through Ansible into controller pod env vars:
ForkliftController CR spec
→ Ansible role variables
→ deployment-controller.yml.j2
→ Pod env vars (FEATURE_*)
→ pkg/settings/features.go
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.
- 29d ago Changed · +43 lines 8b2ba192353f
- 1mo ago First seen · 227 lines · 20 tokens per session scan A d9347b0bcc73
operator is a cursor rule published in the GitHub repository kubev2v/forklift-console-plugin (11 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 3,292 once invoked, about $0.0001 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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