Borrowing it
Nothing to install: this file belongs to theshadow27/mcp-cli. 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/theshadow27/mcp-cli/main/.claude/skills/sprint-lessons/SKILL.mdgit clone --depth 1 https://github.com/theshadow27/mcp-cliWrote 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/theshadow27/mcp-cli/sprint-lessons)<a href="https://agentmods.dev/skills/theshadow27/mcp-cli/sprint-lessons"><img src="https://agentmods.dev/badge/skills/theshadow27/mcp-cli/sprint-lessons/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/theshadow27/mcp-cli/sprint-lessons"><img src="https://agentmods.dev/badge/skills/theshadow27/mcp-cli/sprint-lessons.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 | $0.00131 | $0.01496 |
| Opus 5.5 | $0.00052 | $0.00598 |
| Sonnet 5.5 | $0.00026 | $0.00299 |
| Haiku 4.5 | $0.00013 | $0.00150 |
Grade A, and why
sprint-lessons 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sprint Lessons
Mines the full sprint session history for what worked, what broke, and how the operation has evolved — and turns it into ranked, implementable actions.
Two halves:
- Extractor (
extract-sprint-sessions.ts) — the data half. Runs locally, reads the raw session JSONL, and produces small deterministic digests. Facts (token totals, duration, error counts, orchestration signals) are computed here, not by an LLM, so they can't be hallucinated or recomputed. - Engine (
../../workflows/sprint-lessons.js) — the judgment half. A multi-phaseWorkflowof haiku/sonnet agents that read the digests and produce structured classification, summaries, aggregates, and a trend.
The extractor writes a generated runner to /tmp that feeds the digest
paths (grouped by sprint) into the engine via args. You invoke the runner;
you never paste the data into a tool call.
How sessions map to sprints
Sprint boundaries are the commit timestamps of diary files
(.claude/diary/YYYYMMDD.N.md), validated against .claude/sprints/sprint-N.md
plan files — the same fencepost logic as the transcript archiver. Consecutive
fenceposts tile the timeline, so every session lands in exactly one sprint.
Sessions before the first diary ("legacy" era) are skipped.
Step 1 — extract (local)
# Full history:
bun .claude/skills/sprint-lessons/extract-sprint-sessions.ts
# Scope it (recommended first run — cheaper, validates the pipeline):
bun .claude/skills/sprint-lessons/extract-sprint-sessions.ts --since-sprint 60
bun .claude/skills/sprint-lessons/extract-sprint-sessions.ts --sprint 69 --sprint 70
Flags: --sprint N (repeatable), --since-sprint N, --window N (sprints per
window, default 10), --max-sessions-per-sprint N (keep the N largest),
--min-user-msgs N (default 1), --project-repo PATH.
It prints progress to stderr and a single JSON line to stdout:
{"runnerPath":"/tmp/sprint-lessons-…/run.js","runDir":"…","sprints":12,"sessions":140,"windowSize":10}
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 · 126 lines · 131 tokens per session scan A 513b2e38ef21
sprint-lessons is a skill published in the GitHub repository theshadow27/mcp-cli (2 stars, last pushed 3d ago), licensed MIT. It adds 131 tokens to every session and 1,496 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.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
agentmail
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by your inbox assignment.
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
rowboat-spaces
How to work as a member of Rowboat Spaces, the team chat where people and agents work together. Load it once per session, before acting on any request that reaches you from Rowboat; it covers your setup, mentions and hand-offs, the tools, and files.
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.