Borrowing it
Nothing to install: this file belongs to antopolskiy/kanban-md. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/antopolskiy/kanban-md/main/.agents/skills/design-kanban-md-output/SKILL.mdgit clone --depth 1 https://github.com/antopolskiy/kanban-mdWrote 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/antopolskiy/kanban-md/design-kanban-md-output)<a href="https://agentmods.dev/skills/antopolskiy/kanban-md/design-kanban-md-output"><img src="https://agentmods.dev/badge/skills/antopolskiy/kanban-md/design-kanban-md-output/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/antopolskiy/kanban-md/design-kanban-md-output"><img src="https://agentmods.dev/badge/skills/antopolskiy/kanban-md/design-kanban-md-output.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 | $0.00062 | $0.00646 |
| Opus 5.5 | $0.00025 | $0.00258 |
| Sonnet 5.5 | $0.00012 | $0.00129 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
design-kanban-md-output 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 23d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design kanban-md output
CLI output serves humans, agents, and scripts. Treat the default, format selection, field names, record boundaries, and error shapes as user-facing contracts rather than incidental presentation.
Format roles
- table is the default in both TTY and non-TTY environments. It is padded, readable output for interactive use.
- compact is selected with
--compact,--oneline, orKANBAN_OUTPUT=compact. It uses one record per line, avoids repeated JSON keys, and is optimized for agent context. - json is selected with
--jsonorKANBAN_OUTPUT=json. It is the complete structured form for parsing, pipes, and integrations.
TTY auto-detection was intentionally removed because agents commonly execute in non-TTY environments and previously received verbose JSON by default. Do not restore implicit TTY-dependent selection without new evidence and an explicit compatibility decision.
Contract rules
- Preserve explicit format flags and environment-variable behavior. Conflicting selectors must fail or resolve through the documented precedence, never silently vary with terminal state.
- Keep compact output one-line-per-record and sufficiently self-describing for agents. Avoid repeated labels or decorative padding that materially increases token use.
- Keep JSON complete and machine-oriented. Field removals, renames, type changes, and error-shape changes require compatibility analysis; additive fields still require documentation and tests.
- Keep table output readable and stable enough for humans, while avoiding tests that prevent harmless spacing improvements unless alignment itself is the contract.
- Do not publish precise token-savings claims without a current, reproducible measurement against the formats being compared.
- Update
README.md, command help, examples, and embedded skill references when output behavior changes.
Implementation and verification
Centralize semantic data before rendering so table, compact, and JSON surfaces
do not drift. Test renderer behavior in internal/output/ and complete command
selection in e2e/.
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.
- 23d ago First seen · 72 lines · 62 tokens per session scan A cb108a233481
design-kanban-md-output is a skill published in the GitHub repository antopolskiy/kanban-md (226 stars, last pushed 23d ago), licensed MIT. It adds 62 tokens to every session and 646 once invoked, about $0.0002 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 2026-10-06.
Other skills, from other repositories
migrate-goldmark-extension-v1-to-v2
Migrate goldmark extension from goldmark v1 to v2.
dd-code-generation
Use pup CLI for immediate Datadog operations or generate code for integration into applications.
crit-story
Author a crit story and continue the interactive review loop only when the user explicitly invokes crit-story or directly asks you to generate a crit story. Do not infer this skill from generic review, PR, or diff-review requests.
processing-markdown
Processes Markdown files using mq, a jq-like query language for Markdown. Use when the user mentions Markdown processing, content extraction, document transformation, or mq queries.
web-scraping
Fetches web pages and extracts structured data using mq's toolchain (mq-crawl for fetching/crawling/JS rendering, mq for HTML-to-Markdown selector-based extraction, http() for in-query requests). Use when the user wants to scrape a URL, pull structured data out of a webpage, crawl a site, or turn HTML into…
write-zot-themes
Help the user create, install, or package zot themes, including theme-only extensions.