Borrowing it
Nothing to install: this file belongs to EndogenAI/dogma. 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/EndogenAI/dogma/main/.github/skills/sprint-planning/SKILL.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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/endogenai/dogma/sprint-planning)<a href="https://agentmods.dev/skills/endogenai/dogma/sprint-planning"><img src="https://agentmods.dev/badge/skills/endogenai/dogma/sprint-planning/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/endogenai/dogma/sprint-planning"><img src="https://agentmods.dev/badge/skills/endogenai/dogma/sprint-planning.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 | $0.02493 |
| Opus 5.5 | $0.00050 | $0.00997 |
| Sonnet 5.5 | $0.00025 | $0.00499 |
| Haiku 4.5 | $0.00012 | $0.00249 |
Grade A, and why
sprint-planning 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 — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sprint Planning
This skill enacts the Endogenous-First axiom from MANIFESTO.md:
before proposing any new sprint, the agent reads the full open-issue backlog, existing
milestones, and prior workplans — so the sprint is scaffolded from known committed context,
not invented interactively. Sprint planning discipline is governed by
AGENTS.md § Sprint Phase Ordering Constraints and
§ Agent Communication → docs/plans/. When this skill and those documents conflict, the
primary documents take precedence.
Canonical workplan template: docs/plans/2026-03-08-value-encoding-fidelity.md
Beliefs & Context
This skill implements the sprint-planning workflow as a repeatable procedure for the
Executive PM and
Executive Planner.
Used by:
- Executive PM — owns milestone creation, issue assignment, label taxonomy
- Executive Planner — owns phase decomposition and workplan authoring
- Executive Orchestrator — delegates when user requests "plan the next sprint"
Foundation documents:
AGENTS.md— sprint ordering constraints and commit disciplinedocs/guides/github-workflow.md— labels, milestones,ghCLI patternsdocs/plans/— prior workplans as canonical templatesdata/labels.yml— canonical label taxonomy
1. When to Use This Skill
Use this skill when:
| Trigger | Description |
|---|---|
| User requests a sprint plan | "Plan the next sprint", "what should we work on next?" |
| Current milestone is ≥ 80% closed | Time to scope the next sprint |
| Backlog has ≥ 5 unlabelled or unmilestoned open issues | Hygiene pass required before planning |
| A major new capability was delivered | Logical sprint boundary |
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 · 286 lines · 124 tokens per session scan A af85e6f5d731
sprint-planning is a skill published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 124 tokens to every session and 2,493 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.
sprint-planning compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sprint-planningEndogenAI/dogma | Skill | 2 | 2mo ago | Apache-2.0 | A | 124 | Claude Code |
| custom-brand-designKbWen/agentic-os | Skill | 227 | 4d ago | MIT | A | 23 | Claude Code, Codex |
| air-blackbox-sales-agentairblackbox/airblackbox | Skill | 25 | 4d ago | Apache-2.0 | A | 248 | Claude Code, Codex |
| interpret-resultsairblackbox/airblackbox | Skill | 25 | 4d ago | Apache-2.0 | A | 49 | Claude Code |
| compliance-scanairblackbox/airblackbox | Skill | 25 | 4d ago | Apache-2.0 | A | 51 | Claude Code |
| nio-external-scorecore0-io/nio | Skill | 20 | 13d ago | Apache-2.0 | A | 97 | Claude Code |
| nio-scancore0-io/nio | Skill | 20 | 13d ago | Apache-2.0 | A | 81 | Claude Code |