autosprint: Skill for Claude Code

.claude/skills/grill-destination/SKILL.md

grill-destination is a skill for Claude Code from haakonbull/autosprint. It costs 121 tokens per session (6,465 once invoked), scanned A, original, MIT.

An interview skill for creating or refining autosprint/destination.md, the file that defines the target state for an automated planning loop. It reviews existing content and guides the user through foundation, quality, and optional concerns.

In plain words
What is it for?
Use it to assess or write destination.md, answer its sections through a guided interview, accept or modify defaults, leave decisions open for autosprint, or skip optional sections.
Why use it?
It helps turn a vague desired outcome into a concrete target that planning can use. It also exposes missing decisions before work is broken into tasks.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md; positional $N argument.

This is haakonbull/autosprint's own configuration. It tells Claude Code how to work on autosprint itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything autosprint configures →

Reuse

Borrowing it

Nothing to install: this file belongs to haakonbull/autosprint. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/haakonbull/autosprint/master/.claude/skills/grill-destination/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/haakonbull/autosprint

Made for: Claude Code.

Wrote 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.

agentmods badge for grill-destination

README.md
[![agentmods](https://agentmods.dev/badge/skills/haakonbull/autosprint/grill-destination/github.svg)](https://agentmods.dev/skills/haakonbull/autosprint/grill-destination)
Your own site
<a href="https://agentmods.dev/skills/haakonbull/autosprint/grill-destination"><img src="https://agentmods.dev/badge/skills/haakonbull/autosprint/grill-destination/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.

agentmods 80×15 button for grill-destination

Your own site · 80×15
<a href="https://agentmods.dev/skills/haakonbull/autosprint/grill-destination"><img src="https://agentmods.dev/badge/skills/haakonbull/autosprint/grill-destination.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,465 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00121 $0.06465
Opus 5.5 $0.00048 $0.02586
Sonnet 5.5 $0.00024 $0.01293
Haiku 4.5 $0.00012 $0.00647

Measured 2mo ago against content hash a9f0d0fdcc24, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

grill-destination 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.

.claude/skills/grill-destination/SKILL.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview the user to produce a concrete destination.md at <target_repo>/autosprint/destination.md. This file is the sole input to autosprint's planning phase — the single fixed point the PIT loop iterates toward.

The interview walks three passes through the canonical concerns. At each section the user picks one of these outcomes:

  • Answer it → user dictates the answer; you write it into destination.md.
  • Accept the recommended default (only for sections that ship one) → you write the default content as-is.
  • Modify the recommended default (only for sections that ship one) → user dictates changes; you write the modified version. If the modification carries non-trivial reasoning, flag that the change deserves an ADR entry recording the rationale.
  • Let autosprint decide → you write a destination-shaped sentence with an *(Open — autosprint to decide.)* marker. Autosprint will resolve in a future sprint, recording rationale in adr.md.
  • Skip → you don't add the section to destination.md at all. (Allowed only in passes 2 and 3.)

The resulting file contains only the sections the user picked into. Everything else stays out — no empty placeholders, no aspirational sections nobody intends to fill in.

Where things live

destination.md is the destination — the GPS coordinate the PIT loop descends toward. It lives at <target_repo>/autosprint/destination.md and is the load-bearing input the planner reads on every sprint.

Sibling locations under <target_repo>/autosprint/:

  • inputs/ — supporting human-authored material the destination may reference. Half-finished data models, domain glossary, project description, design notes. Read on demand, not on every sprint. destination.md is authoritative; if a file in inputs/ contradicts it, the file in inputs/ is wrong and gets updated. Each file in inputs/ is anchored by humans; agents may append to designated AI-append sections (e.g. ## AI-observed inconsistencies) but never modify human content above them. Pattern: destination.md's "Referenced inputs" section names which inputs/ files matter for which kinds of tasks.
  • adr.md — append-only history of technical decisions. Read by Plan and Implement on every sprint as context for what's already locked in. Both humans and the implementor agent author entries here. To change a decision, append a new entry that references the old one under **Supersedes:** — old entries stay in the file as history.
  • plan.md — loop state authored by the planner. Not an input to the grill skill.
  • logs/, cache/ — agent-generated bookkeeping. Never touch by hand.

Plus the standard agent file:

  • <target_repo>/CLAUDE.md — agent navigation context (folder layout, conventions, "we use uv not pip"). Loaded on every agent invocation. Not part of this interview, but updated by autosprint as project shape changes.

Read the full file on GitHub · 257 lines

Changes

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.

  1. 2mo ago First seen · 257 lines · 121 tokens per session scan A a9f0d0fdcc24

Subscribe to this mod's changes

grill-destination is a skill published in the GitHub repository haakonbull/autosprint (5 stars, last pushed 4d ago), licensed MIT. It adds 121 tokens to every session and 6,465 once invoked, about $0.0005 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.

Related

grill-destination compared with skills from other repositories

grill-destination next to 6 skills from other repositories
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grill-destinationhaakonbull/autosprintSkill54d agoMITA121Claude Code
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