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 UnboundCompute/security-agent-skills --skill hunting-helm-template-and-values-injectiongit clone --depth 1 https://github.com/UnboundCompute/security-agent-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/unboundcompute/security-agent-skills/hunting-helm-template-and-values-injection)<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-helm-template-and-values-injection"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-helm-template-and-values-injection/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/unboundcompute/security-agent-skills/hunting-helm-template-and-values-injection"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-helm-template-and-values-injection.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 | $0.00172 | $0.01946 |
| Opus 5.5 | $0.00069 | $0.00778 |
| Sonnet 5.5 | $0.00034 | $0.00389 |
| Haiku 4.5 | $0.00017 | $0.00195 |
Grade A, and why
hunting-helm-template-and-values-injection 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 1mo 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hunting Helm template and values injection: when a value becomes a manifest
Kubernetes packaging templates turn a values file into manifests, and that rendering is a text transformation with the same injection hazards as any templating: a value spliced in without quoting can break out of its intended field and inject new YAML structure, and a value that flows into a sensitive field can grant more than the author intended. When the values come from a place a tenant, a pipeline, or a user can influence, an override that self-service platforms and multi-tenant chart deployments commonly allow, the rendered manifest can gain a privileged security context, a host mount, an extra RBAC rule, or an altered container command. The manifest looks authored by the chart, but part of it was supplied by the caller. You hunt this by tracing untrusted values into the template and finding where they become structure or reach a sensitive field.
When to use
- Charts render Kubernetes manifests from values that a tenant, pipeline, or user can influence or override.
- A values field is rendered into a manifest without quoting, or into a command, annotation, or RBAC rule.
- A self-service platform lets callers supply overrides that reach a chart's templates.
Scope check
Test chart rendering only against charts and clusters you own or are authorized to assess, on non-production namespaces. A confirming override can create a privileged workload, so render and inspect manifests rather than applying them where possible, and stay inside the authorized cluster. If you can't name the authorization, stop.
The loop
- Establish which values are untrusted first. Determine which values a caller (tenant, pipeline, user) can set or override versus which are fixed by the chart author. This is the false-positive killer: a value hardcoded by the author and never overridable is not an injection source no matter how it is rendered. Name the untrusted values, then trace them.
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.
- 1mo ago First seen · 132 lines · 172 tokens per session scan A 48aaea7b33fa
hunting-helm-template-and-values-injection is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 172 tokens to every session and 1,946 once invoked, about $0.0007 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 2026-09-05.
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