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 agentmods add skills/imran31415/kube-coder/kc-issuenpx skills add imran31415/kube-coder --skill kc-issuegit clone --depth 1 https://github.com/imran31415/kube-coderWrote 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/imran31415/kube-coder/kc-issue)<a href="https://agentmods.dev/skills/imran31415/kube-coder/kc-issue"><img src="https://agentmods.dev/badge/skills/imran31415/kube-coder/kc-issue.svg" alt="Measured on agentmods" 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 | $0.00113 | $0.01690 |
| Opus 5 | $0.00056 | $0.00845 |
| Sonnet 5 | $0.00023 | $0.00338 |
| Haiku 4.5 | $0.00011 | $0.00169 |
Grade A, and why
kc-issue scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kc-issue — one issue, one clean worktree, one agent
This is the reliable entrypoint for per-issue work on kube-coder. It removes the two things that made ad-hoc worktree use flaky:
- It branches from a freshly-fetched
origin/main, never a stale local HEAD. - It launches the agent with
workdir= the worktree, so the agent starts inside its isolation and physically cannot forget to use it.
The heavy lifting is in kc-issue.sh next to this file. It does the git/fs part
and prints JSON; you (the assistant) do the launch via create_task.
Do this when invoked
list — show existing issue worktrees + task status
bash "$CLAUDE_SKILL_DIR/kc-issue.sh" list
Then call mcp__dashboard__list_tasks and correlate by worktree/branch so the
user sees which issues have a live agent.
<issue-number> (optionally --pr) — start an agent on an issue
Step 1 — create/reuse the worktree and get the prompt. If the user passed
--pr (auto-open a PR when done), set KC_AUTO_PR=1:
# without --pr (default: preflight then STOP for review):
bash "$CLAUDE_SKILL_DIR/kc-issue.sh" <N>
# with --pr (preflight, push, open PR):
KC_AUTO_PR=1 bash "$CLAUDE_SKILL_DIR/kc-issue.sh" <N>
Capture the JSON it prints on stdout:
{issue,title,url,worktree,branch,port,prompt_file,auto_pr,lint,lint_blockers}.
Step 1b — surface the issue-body lint (#569). The script lints the body
before the worktree exists, because the body is baked verbatim into the agent
prompt: a thin issue silently produces a thin prompt, and the cost is paid
before anyone can react. Findings arrive two ways — human-readable on stderr,
and structured in the JSON's lint array ({severity,code,message}).
If lint is non-empty, show the user the findings before Step 3 — a short
list, one per line. Then:
lint_blockers > 0(today: theneeds-scopinglabel — the repo itself saying this isn't ready to implement): stop and ask whether to proceed. Spawning on aneeds-scopingissue is almost always wrong, so this is the one case where you wait for an explicit yes.- warnings only: mention them in one line and continue. A terse issue is sometimes genuinely fine and the operator knows it — the script warns, it never blocks, and the human makes the call.
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.
- 4d ago First seen · 125 lines · 113 tokens per session scan A 2e2909ca9461
kc-issue is a skill published in the GitHub repository imran31415/kube-coder (352 stars, last pushed 2d ago), licensed MIT. It adds 113 tokens to every session and 1,690 once invoked, about $0.0006 per session on Opus 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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