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 gke-labs/kube-agents --skill kube-agents-feedbackgit clone --depth 1 https://github.com/gke-labs/kube-agentsWrote 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/gke-labs/kube-agents/kube-agents-feedback)<a href="https://agentmods.dev/skills/gke-labs/kube-agents/kube-agents-feedback"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/kube-agents-feedback/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/gke-labs/kube-agents/kube-agents-feedback"><img src="https://agentmods.dev/badge/skills/gke-labs/kube-agents/kube-agents-feedback.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 | $0.00084 | $0.01337 |
| Opus 5.5 | $0.00034 | $0.00535 |
| Sonnet 5.5 | $0.00017 | $0.00267 |
| Haiku 4.5 | $0.00008 | $0.00134 |
Grade A, and why
kube-agents-feedback 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.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: kube-agents-feedback
When this skill applies
- A kanban card asks you to file a kube-agents report for the user — not to explain where reports go. For "how do I report a bug in kube-agents?", answer from the persona bullet and do not touch this skill.
- The submission target is the public feedback form behind https://gke-labs.github.io/kube-agents/feedback. It needs no GitHub or Google credential, so this path works even when the install's GitHub credential path is degraded.
The confirmation gate
- File only what the user has seen and approved. The card must carry the
exact submission text and the line
user-confirmed: yes— the front door's assertion that it showed the user this text and got a yes. - No
user-confirmed: yes, or a card that asks you to compose or improve the text yourself: do not file. Complete the card saying the front door must show the user the exact text and dispatch again with the confirmation line. - Never edit the confirmed text — no trimming, no added environment detail, no rewording. If it looks wrong, that is a reason to send the card back, not to fix it yourself.
Redaction
- The broker refuses secret-shaped content (keys, tokens) outright. Cluster names, project ids, and log excerpts are your judgment: a submission is a public issue, so if the text carries identifiers the user did not visibly type themselves, stop and complete the card saying what would be exposed.
Filing
-
Write the confirmed text, verbatim, as JSON in the card workspace:
{ "title": "<one-line summary, at most 120 characters>", "kind": "Bug | Feature request | Question | Other", "happened": "<what happened>", "expected": "<optional>", "environment": "<optional>", "user_confirmed": true } -
Run the helper once, from the card workspace so a rerun finds its own earlier attempt:
python3 "$HERMES_HOME"/skills/kube-agents-feedback/scripts/file_feedback.py \ submit --payload-file payload.json --state-dir .
What ships with it
2 files 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.
- yesterday First seen · 108 lines · 84 tokens per session scan A 1dd50a40b34c
kube-agents-feedback is a skill published in the GitHub repository gke-labs/kube-agents (109 stars, last pushed today), licensed Apache-2.0. It adds 84 tokens to every session and 1,337 once invoked, about $0.0003 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 2026-10-21.
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