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 S3YED/appie-kit --skill kanban-workergit clone --depth 1 https://github.com/S3YED/appie-kitWrote 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/s3yed/appie-kit/kanban-worker)<a href="https://agentmods.dev/skills/s3yed/appie-kit/kanban-worker"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/kanban-worker.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 5.1 | $0.00060 | $0.02088 |
| Opus 5 | $0.00030 | $0.01044 |
| Sonnet 5 | $0.00012 | $0.00418 |
| Haiku 4.5 | $0.00006 | $0.00209 |
Grade A, and why
kanban-worker 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 7d 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.
This is a copy
89% identical to kanban-worker — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kanban Worker — Pitfalls and Examples
You're seeing this skill because the Hermes Kanban dispatcher spawned you as a worker with
--skills kanban-worker— it's loaded automatically for every dispatched worker. The lifecycle (6 steps: orient → work → heartbeat → block/complete) also lives in theKANBAN_GUIDANCEblock that's auto-injected into your system prompt. This skill is the deeper detail: good handoff shapes, retry diagnostics, edge cases.
Workspace handling
Your workspace kind determines how you should behave inside $HERMES_KANBAN_WORKSPACE:
| Kind | What it is | How to work |
|---|---|---|
scratch |
Fresh tmp dir, yours alone | Read/write freely; it gets GC'd when the task is archived. |
dir:<path> |
Shared persistent directory | Other runs will read what you write. Treat it like long-lived state. Path is guaranteed absolute (the kernel rejects relative paths). |
worktree |
Git worktree at the resolved path | If .git doesn't exist, run git worktree add <path> <branch> from the main repo first, then cd and work normally. Commit work here. |
Tenant isolation
If $HERMES_TENANT is set, the task belongs to a tenant namespace. When reading or writing persistent memory, prefix memory entries with the tenant so context doesn't leak across tenants:
- Good:
business-a: Acme is our biggest customer - Bad (leaks):
Acme is our biggest customer
Good summary + metadata shapes
The kanban_complete(summary=..., metadata=...) handoff is how downstream workers read what you did. Patterns that work:
Coding task:
kanban_complete(
summary="shipped rate limiter — token bucket, keys on user_id with IP fallback, 14 tests pass",
metadata={
"changed_files": ["rate_limiter.py", "tests/test_rate_limiter.py"],
"tests_run": 14,
"tests_passed": 14,
"decisions": ["user_id primary, IP fallback for unauthenticated requests"],
},
)
Research task:
kanban_complete(
summary="3 competing libraries reviewed; vLLM wins on throughput, SGLang on latency, Tensorrt-LLM on memory efficiency",
metadata={
"sources_read": 12,
"recommendation": "vLLM",
"benchmarks": {"vllm": 1.0, "sglang": 0.87, "trtllm": 0.72},
},
)
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.
- 7d ago First seen · 161 lines · 60 tokens per session scan A 05f86c02102c
kanban-worker is a skill published in the GitHub repository S3YED/appie-kit (7 stars, last pushed 12d ago), licensed MIT. It adds 60 tokens to every session and 2,088 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to kanban-worker, differing in 26 lines, and is treated as a copy.
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