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 OutlineDriven/outline-driven-development --skill create-learning-pathgit clone --depth 1 https://github.com/OutlineDriven/outline-driven-developmentWrote 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/outlinedriven/outline-driven-development/create-learning-path)<a href="https://agentmods.dev/skills/outlinedriven/outline-driven-development/create-learning-path"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/create-learning-path/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/outlinedriven/outline-driven-development/create-learning-path"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/create-learning-path.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 | $0.00040 | $0.00576 |
| Opus 5 | $0.00020 | $0.00288 |
| Sonnet 5 | $0.00008 | $0.00115 |
| Haiku 4.5 | $0.00004 | $0.00058 |
Grade A, and why
create-learning-path 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 2d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create learning path
Contract
| Field | Bound contract |
|---|---|
| Trigger | Create a multi-session learning plan. |
| Authority | Read-only. No file, VCS, credential, paid, published, deployed, or remote mutation. |
| Side effect | Conversation artifact only. |
| Done | Milestoned plan, practice, and review rubric returned. |
Inputs
Required inputs from the learner:
- Learning goal: the skill or topic to master.
- Current level: what the learner already knows or can do.
Optional inputs; request any that are absent:
- Session count or total time budget.
- Session length and cadence.
- Constraints (materials, deadlines, prior gaps).
Procedure
- Collect the required inputs and any optional inputs the learner supplies. Ask for missing required inputs before proceeding; do not invent them. Done when: required inputs are collected or missing ones are requested.
- Decompose the goal into ordered milestones, each a demonstrable capability, sequenced so no milestone depends on a later one. Done when: milestones are ordered with no forward dependencies and each is a demonstrable capability.
- Map milestones onto the available sessions, respecting the session count, length, and cadence. If no budget is given, propose a default and label it as proposed. Done when: every milestone is mapped to a session within the stated or proposed budget.
- For each milestone, define one practice exercise that produces observable evidence the milestone was reached. Done when: each milestone has one practice exercise with observable evidence.
- Define a review rubric for each milestone with criteria that distinguish not-yet, partial, and met, so the learner can self-assess. Done when: each milestone has a rubric with not-yet, partial, and met criteria.
- Return the plan, practice, and rubric as a single conversation artifact. Done when: the plan, practice exercises, and rubrics are returned as one artifact.
Failure and recovery
- Missing required input: stop and request it; do not fabricate a goal or level.
- Goal too broad for the stated budget: report the mismatch, propose a narrowed scope, and let the learner confirm before continuing. Do not silently widen the budget.
- No recovery action mutates files, credentials, or remote state. A partial result is returned only as an explicit incomplete plan with the missing milestone or rubric named.
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.
- 2d ago Changed 58516d537118
- 5d ago First seen · 44 lines · 40 tokens per session scan A 8c38dcf8b48c
create-learning-path is a skill published in the GitHub repository OutlineDriven/outline-driven-development (52 stars, last pushed 3d ago), licensed Apache-2.0. It adds 40 tokens to every session and 576 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
book-to-skill
Use when the user names one book, course, paper, or source document and asks to distill it into a reusable skill. Classifies the source as procedure or reference, writes an attributed SKILL.md, and proves its routing. Not for a folder of sources — use map-corpus.
drill
Use when a concept needs practising rather than explaining: run a scaffolded exercise from worked example to independent problem, quiz the learner, run spaced recall over what they cleared, or probe for the gaps blocking what they want next. For explanation, use explain-concept; for an end-to-end build, use capstone.
writing-lean-proofs
Use when asked to design, write, review, refactor, lint, or performance-diagnose Lean 4 proofs, libraries, or tactics. Not for non-Lean code or changes outside source, API, proof, or linter scope.
scaffold-exercises
Use when a course needs numbered problem, solution, and explainer scaffolds. Creates type-specific files with non-colliding names, populates them, and validates with the course linter. Not for a CLI or Next.js project scaffold — use scaffold-cli or scaffold-nextjs.
explain-concept
Use when a concept needs making clear rather than practising: build the intuition, explain why it exists and what it replaced, trace where it came from, draw it, or contrast it against what it gets confused with. For exercises and grading, use drill.
capstone
Use when the user is ready to apply what they learned to something real: scope a project sized to what they have cleared, write the brief with milestones and a done test, then judge the finished work against it. For single-concept exercises and quizzes, use drill.