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 oxbshw/LLM-Agents-Ecosystem-Handbook --skill sprint-plannergit clone --depth 1 https://github.com/oxbshw/LLM-Agents-Ecosystem-HandbookWrote 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/oxbshw/llm-agents-ecosystem-handbook/sprint-planner)<a href="https://agentmods.dev/skills/oxbshw/llm-agents-ecosystem-handbook/sprint-planner"><img src="https://agentmods.dev/badge/skills/oxbshw/llm-agents-ecosystem-handbook/sprint-planner/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/oxbshw/llm-agents-ecosystem-handbook/sprint-planner"><img src="https://agentmods.dev/badge/skills/oxbshw/llm-agents-ecosystem-handbook/sprint-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.00422 |
| Opus 5.5 | $0.00011 | $0.00169 |
| Sonnet 5.5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
sprint-planner 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.
What it actually says
Sprint Planner
When to use
- Start of a sprint cycle
- After a re-prioritization mid-cycle
- When intake outpaces capacity and you need a defendable plan
When NOT to use
- Daily standup (different cadence)
- Annual planning (different scope; use
roadmap-synthesizer)
Inputs
| Name | Type | Required | Notes |
|---|---|---|---|
tickets |
list / path | yes | candidate work items with priority + estimates |
capacity |
object | yes | per-engineer days available |
previous_carry |
list | no | items rolling over from last sprint |
commitments |
list | no | OKR / stakeholder commitments that must land |
Outputs
sprint-plan.md with: Sprint goal, Committed, Stretch, Non-goals, Risks.
Workflow
- Compute total capacity (days × team)
- Sort candidates: committed → carry → stretch
- Pack to ~85% of capacity (leave room for support / interrupts)
- Identify dependencies between items; surface blockers
- Surface explicit non-goals — what we are not doing this sprint and why
- Risks: anything that would cause spillover
References
Success criteria
- Committed work ≤ 85% of capacity
- Every committed item has an owner and an estimate
- Non-goals section is non-empty
- Risks include at least one "what could derail us"
Failure modes
- Capacity unknown → ask, don't guess
- Tickets without estimates → flag and exclude from "committed"
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 · 52 lines · 28 tokens per session scan A eea0e5278209
sprint-planner is a skill published in the GitHub repository oxbshw/LLM-Agents-Ecosystem-Handbook (558 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 422 once invoked, about $0.0001 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 2026-08-30.
sprint-planner compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sprint-planneroxbshw/LLM-Agents-Ecosystem-Handbook | Skill | 558 | 4mo ago | MIT | A | 28 | Claude Code, Codex |
| replit-decknexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 71 | Claude Code, Codex |
| html-ppt-knowledge-arch-blueprintnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 52 | Claude Code, Codex |
| deck-open-slide-canvasnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 47 | Claude Code, Codex |
| fine-tuning-openvla-oftOrchestra-Research/AI-Research-SKILLs | Skill | 14k | 26d ago | MIT | A | 103 | Claude Code |
| tinker-training-costsynthetic-sciences/openscience | Skill | 4.3k | 2d ago | Apache-2.0 | A | 55 | Claude Code, Codex |
| transformerssynthetic-sciences/openscience | Skill | 4.3k | 2d ago | Apache-2.0 | A | 63 | Claude Code, Codex |