Borrowing it
Nothing to install: this file belongs to jahala/umbel. 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/jahala/umbel/master/.claude/skills/tend/SKILL.mdgit clone --depth 1 https://github.com/jahala/umbelWrote 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/jahala/umbel/tend)<a href="https://agentmods.dev/skills/jahala/umbel/tend"><img src="https://agentmods.dev/badge/skills/jahala/umbel/tend/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/jahala/umbel/tend"><img src="https://agentmods.dev/badge/skills/jahala/umbel/tend.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 | $0.00055 | $0.02616 |
| Opus 5.5 | $0.00022 | $0.01046 |
| Sonnet 5.5 | $0.00011 | $0.00523 |
| Haiku 4.5 | $0.00006 | $0.00262 |
Grade A, and why
tend 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 2mo 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tend: Next-Action Router
Entry point for all tend-* skills. The primary move is route the user to their highest-leverage next step — computed deterministically by tend next from on-disk project state, with reasons drawn from the canonical reason-code vocabulary (src/core/reason-codes.ts). Status overviews and graph rendering are secondary.
What this skill assumes
- The project has been initialized with
tend init(garden polyglot atdocs/tend/overview.htmlexists). - MCP tools are available — preferred path is
mcp__tend__tend_get_next. CLI fallback isnode dist/bin/tend.js next --jsonwhen MCP is not wired. - The user wants a routing recommendation, a status read, or to be handed off to a sub-skill.
- Nothing is assumed about the project's spine state — if it's empty, the next-action engine returns a bootstrap action with reason code
unbound_personaand this skill surfaces that as-is.
Trigger
- "what should I do?" / "what's next?" / "what should I work on?" / "next action"
- User mentions features, requirements, or planning
- "show status", "what's the progress?"
- "visualize", "show graph", "show dependencies"
- Any
/tendcommand without a more specific verb
Workflow
1. Compute the next action
Call the next-action engine. MCP path is preferred because it runs in-process and respects the same code the CLI does:
mcp__tend__tend_get_next (preferred)
Fallback when MCP is not available:
node dist/bin/tend.js next --json
Both return the same NextAction shape:
{
"action": "/tend audit checkout",
"feature_id": "checkout",
"reason_codes": ["stale_evidence"],
"explanation": "Feature \"checkout\": An audit verdict cites a file whose SHA has changed since the verdict was recorded… Run `/tend audit checkout`.",
"not_chosen": [
{ "feature_id": "user-login", "reason_codes": ["stale_evidence"], "explanation": "…" },
{ "feature_id": "search-filters", "reason_codes": ["blocked"], "explanation": "…" }
]
}
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.
- 2mo ago First seen · 189 lines · 55 tokens per session scan A f2c8105e6552
tend is a skill published in the GitHub repository jahala/umbel (3 stars, last pushed 3d ago), licensed MIT. It adds 55 tokens to every session and 2,616 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 2026-08-31.
Other skills, from other repositories
factory-handoff
Hand one exact agent-ready ticket to the central Factory runtime over the configured SSH forced-command boundary. Use when an operator asks to hand off an existing ticket or a prose request instead of implementing it in the current session.
ticket-spec
Turn a raw Linear Triage ticket into a fully specified ai:agent-ready one by exploring the codebase. Use when specifying, refining, or promoting tickets, or when asked why a ticket isn't dispatchable.
loci
Use when working with Loci tickets — starting, updating, and completing tickets via the loci CLI. Covers workflow, CLI commands, doc conventions, and assignee/status formats.
analyze-trade
Run one full trading cycle for one or more symbols — fetch market data via Robinhood MCP, evaluate through the deterministic core, and report what the system would do. Use when the user asks to analyze a symbol, check for setups, scan the universe, or run a trading cycle. Never places an order on its own.
critique-trade
Adversarially review a proposed trade before it is placed — challenge the thesis, hunt for the failure mode, and try to talk the system out of it. Use after analyze-trade produces an actionable signal and before any live order. Returns a verdict that can veto the trade.
review-performance
Analyze the trading journal — realized performance, which risk gates are firing, whether the strategy edge is real or noise, and what to change. Use when the user asks how the system is doing, wants a post-mortem, or asks whether to go live.