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 ebursztein/sprinty --skill how-to-run-a-sprintgit clone --depth 1 https://github.com/ebursztein/sprintyWrote 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/ebursztein/sprinty/how-to-run-a-sprint)<a href="https://agentmods.dev/skills/ebursztein/sprinty/how-to-run-a-sprint"><img src="https://agentmods.dev/badge/skills/ebursztein/sprinty/how-to-run-a-sprint/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/ebursztein/sprinty/how-to-run-a-sprint"><img src="https://agentmods.dev/badge/skills/ebursztein/sprinty/how-to-run-a-sprint.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 | $0.00124 | $0.01292 |
| Opus 5 | $0.00062 | $0.00646 |
| Sonnet 5 | $0.00025 | $0.00258 |
| Haiku 4.5 | $0.00012 | $0.00129 |
Grade A, and why
how-to-run-a-sprint 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 10d 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 — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
How To Run A Sprint
A Sprinty sprint is item-driven. Do not keep parallel prose trackers when tools are available.
Why Use This Instead Of A Scratch Todo List
An in-session todo list is cheaper, and for a two-step fix it is the right tool. Reach for Sprinty when any of these are true, because a todo list cannot do them:
- The work outlives your context. The ledger is on disk. After compaction, a restart, or a handoff
to another session,
info({ git_dir })thensprint_resume({ git_dir })restores exactly what was done, what is open, and what is blocked. A todo list is gone. - You need to not fool yourself about "done".
item_donerefuses without a commit that actually resolves in the repo, and Sprinty runs the item's gates itself rather than taking your word for it. You cannot check the box on work that is not really finished. - A human wants to watch without interrupting you.
sprint_newreturns a live dashboard URL. - The record has to be auditable. The ledger is append-only, and
search({ pattern })queries it.
Cost is real: items need a title, description, code locations, and gates, and closing needs a changelog and coverage. Pay it for multi-commit or multi-session work. Skip it for a one-line fix.
Loop
- Orient before binding. Call
info({ git_dir })for the default<git_dir>/.sprintyledger directory,info({ data_dir })for an explicit ledger directory, orinfo({ workspace_dirs: [...] })for a compact workspace view. Resume withsprint_resume({ git_dir, data_dir? }). Start fresh only withsprint_new({ goal, git_dir, data_dir?, context_notes }). - Share the dashboard URL returned by
sprint_new({})orsprint_resume({}). Usedashboard_info({})to re-read it,dashboard_restart({})to refresh it,overview({})for compact orientation, andnext({})for the active work window. - Create feature-sized subsprints with
subsprint_new({ description, goals, gates, dependencies }). - Create atomic work with
item_add({ subsprint, title, description, code_locations, gates, gate_timeout_ms, dependencies, high_priority }).gate_timeout_msdefaults to 5000; use a positive integer to customize it ornullto disable it. If the work is too large, make more items; do not hide scope in notes. - Work against one owning item. Every
item_updaterequires its itemidand accepts only allowlisted fields. Useitem_update({ id, gates, gate_timeout_ms })for open-item execution settings, oritem_update({ id, commit_id })to correct a completed item's verified commit before sprint close. Structural fields stay immutable. - Resolve each item exactly once:
item_done({ id, commit_id, changelog }),item_split({ id, description, goals, gates, dependencies }), oritem_deprecate({ id, reason }).item_deprecatealso accepts a subsprint id to drop a whole subsprint and its open items. - Use
search({ pattern, context_size:512 }),*_list, and focused*_gettools when you need detail. - Optionally preview or export the current changelog with
changelog({ path? }). - Close with
sprint_close({ coverage:{ path, format:"lcov", command } }); Sprinty rechecks gates and writes the canonical changelog automatically.
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.
- 10d ago First seen · 51 lines · 124 tokens per session scan A cb80c0ff70a7
how-to-run-a-sprint is a skill published in the GitHub repository ebursztein/sprinty (0 stars, last pushed 26d ago), licensed Apache-2.0. It adds 124 tokens to every session and 1,292 once invoked, about $0.0006 per session on Opus 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.
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