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 galvani/kanban-pro --skill kanban-pro-work-reportinggit clone --depth 1 https://github.com/galvani/kanban-proWrote 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/galvani/kanban-pro/kanban-pro-work-reporting)<a href="https://agentmods.dev/skills/galvani/kanban-pro/kanban-pro-work-reporting"><img src="https://agentmods.dev/badge/skills/galvani/kanban-pro/kanban-pro-work-reporting/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/galvani/kanban-pro/kanban-pro-work-reporting"><img src="https://agentmods.dev/badge/skills/galvani/kanban-pro/kanban-pro-work-reporting.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 | $0.00066 | $0.01166 |
| Opus 5 | $0.00033 | $0.00583 |
| Sonnet 5 | $0.00013 | $0.00233 |
| Haiku 4.5 | $0.00007 | $0.00117 |
Grade A, and why
kanban-pro-work-reporting scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
cheaper one — an SSR `curl` returning HTTP 200 — was added under a new id, so the report read The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 11d ago First seen · 92 lines · 66 tokens per session scan A de84c559e310
kanban-pro-work-reporting is a skill published in the GitHub repository galvani/kanban-pro (0 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 66 tokens to every session and 1,166 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
epic-lead
Use when delivering one approved Kanban EPIC through governed integration, review, and handoff.
teamlead
Use at the START of ANY code task — write/edit/refactor/read code, feature, bug-fix, migration, code investigation. The main thread acts as team-lead, NOT implementer — it delegates work to subagents and surfaces only decisions and results, keeping the main chat clean.
knbn
Alias for the kanban skill. Use when the user invokes or refers to Kanban as "knbn".
agent-swarm
Agent skill for swarm - invoke with $agent-swarm.
moai-workflow-worktree
Git worktree management for parallel SPEC development with isolated workspaces, automatic branch registration, and seamless MoAI-ADK integration. Use when setting up parallel development environments.
moai-kanban-foreman
One unattended kanban foreman iteration: watch the backlog queue, dispatch the next operator-picked card to an isolated worker, collect completion evidence on read (not on claims), and report. This is the body the project's loop.md driver invokes each iteration of a bare /loop; it can also be invoked directly to test…