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/hachej/boring-ui/boring-feedbacknpx skills add hachej/boring-ui --skill boring-feedbackgit clone --depth 1 https://github.com/hachej/boring-uiWrote 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/hachej/boring-ui/boring-feedback)<a href="https://agentmods.dev/skills/hachej/boring-ui/boring-feedback"><img src="https://agentmods.dev/badge/skills/hachej/boring-ui/boring-feedback.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 | $0.00033 | $0.00394 |
| Opus 5 | $0.00016 | $0.00197 |
| Sonnet 5 | $0.00007 | $0.00079 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
boring-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 5d 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.
What it actually says
Boring Feedback
Goal: /feedback creates the GitHub issue. Never implement.
Issue shape: follow
docs/kanzen/procedures/well-documented-issue.md.
Steps
| Step | Output |
|---|---|
| Capture | report, route, panel/plugin, selected item, branch/SHA, app/browser context, redacted errors, optional screenshot |
| Redact | preview before publish; no secrets, cookies, auth headers, private data, unrelated transcripts, or host-local paths |
| Issue | create the well-documented issue |
| First plan | likely area, acceptance criteria, flag/abstraction guess, proof path |
| Labels | source:feedback, one state:*, one phase:*, track:owner |
- Labels: no
bug,ui,accessibility,package:*,plugin:*,gate:*. - Session: comment id, purpose
feedback, repo/item scope, capture context. - Missing id: omit or note
unavailable; never invent fixed session fields.
Grill Routing
If unclear, ask whether to grill now, defer, or skip.
| Choice | Result |
|---|---|
| grill now | use grill-me before final routing |
| defer | create issue as state:blocked phase:grill; record gate clarity in the body |
| skip/clear | create issue as state:queued phase:triage; record gate triage in the body |
Use ask-user for deferred questions so the session appears as pending in boring-ui.
For attachments, keep the GitHub attachment or safe filename in the issue; do not publish the original host-local path.
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.
- 5d ago First seen · 42 lines · 33 tokens per session scan A 74cd4102e850
boring-feedback is a skill published in the GitHub repository hachej/boring-ui (46 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 394 once invoked, about $0.0002 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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