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 infraspecdev/tesseract --skill helm-reviewgit clone --depth 1 https://github.com/infraspecdev/tesseractWrote 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/infraspecdev/tesseract/helm-review)<a href="https://agentmods.dev/skills/infraspecdev/tesseract/helm-review"><img src="https://agentmods.dev/badge/skills/infraspecdev/tesseract/helm-review/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/infraspecdev/tesseract/helm-review"><img src="https://agentmods.dev/badge/skills/infraspecdev/tesseract/helm-review.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 | $0.00029 | $0.00767 |
| Opus 5.5 | $0.00012 | $0.00307 |
| Sonnet 5.5 | $0.00006 | $0.00153 |
| Haiku 4.5 | $0.00003 | $0.00077 |
Grade A, and why
kubernetes-helm-review 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes Helm Review
Overview
Reviews Helm chart structure and best practices. Covers chart metadata, values defaults, template patterns, dependency management, hooks, and tests. Complements the K8s security/cost/operational skills by focusing on Helm-specific concerns like template hygiene and chart packaging.
Only triggers when Chart.yaml is detected. Does not trigger for raw K8s manifests — use the core K8s skills for those.
When to Use
- When reviewing a Helm chart for structural best practices
- When auditing
values.yamldefaults and documentation - When checking template helpers and naming conventions
- When reviewing Helm hooks, tests, and dependency management
When NOT to Use
- For raw K8s manifest review — use core K8s skills (security-audit, cost-review, operational-review)
- For Kustomize overlays — use
kubernetes-kustomize-review - When no
Chart.yamlis found - For Helm chart deployment/release issues — this is static chart review only
Workflow
- Detect Helm chart: Confirm
Chart.yamlexists at the target path. If not found, do not proceed. - Chart metadata: Review
Chart.yamlfor completeness, version constraints, maintainer info. - Values review: Check
values.yamlfor sensible defaults, documentation, no hardcoded secrets. - Template review: Check templates for helper usage, consistent labeling, resource naming patterns.
- NOTES.txt: Verify post-install instructions exist and are useful.
- Hooks review: Check hook annotations for proper weight ordering and cleanup policy.
- Tests review: Verify test templates exist (e.g.,
test-connection.yaml). - Dependencies: Check
Chart.lockcommitted, version ranges appropriate, subchart value passthrough. - Deprecation flag: If deprecated K8s API versions are found in templates, flag them and recommend
deprecation-check-and-upgrade. - Produce report: Present findings with check pass/fail status.
See check-tables.md for detailed check definitions.
What ships with it
1 file 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.
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 · 65 lines · 29 tokens per session scan A 39949a72d597
kubernetes-helm-review is a skill published in the GitHub repository infraspecdev/tesseract (5 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 767 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 2026-09-03.
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