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 TimboGP/timbogp-marketplace --skill set-curriculumgit clone --depth 1 https://github.com/TimboGP/timbogp-marketplaceWrote 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/timbogp/timbogp-marketplace/set-curriculum)<a href="https://agentmods.dev/skills/timbogp/timbogp-marketplace/set-curriculum"><img src="https://agentmods.dev/badge/skills/timbogp/timbogp-marketplace/set-curriculum/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/timbogp/timbogp-marketplace/set-curriculum"><img src="https://agentmods.dev/badge/skills/timbogp/timbogp-marketplace/set-curriculum.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 | $0.00115 | $0.01391 |
| Opus 5 | $0.00057 | $0.00696 |
| Sonnet 5 | $0.00023 | $0.00278 |
| Haiku 4.5 | $0.00012 | $0.00139 |
Grade A, and why
set-curriculum 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 12d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Set or update a sub-project's curriculum
This skill builds the teaching plan for a learning sub-project. The curriculum is a reference document the agent consults when proposing what to study next — it does not force the order, but it makes the route through the material explicit and reviewable.
When to use
The user has bootstrapped a sub-project (via the bootstrap skill) and dropped source materials into .studyenv/<name>/source-materials/. They want to organize that material into an ordered teaching plan. Phrases: "set curriculum for tasep", "update the curriculum for spanish-b2", "plan how we should work through these papers".
This skill is not a session — it does not update PROGRESS.md. It only writes the curriculum file.
What you need from the user
Required:
- The sub-project name to act on. If the user did not name one, ask — never default to "all sub-projects" or guess.
If multiple sub-projects exist in the harness, prefer asking over assuming.
What to read
Before writing or updating the curriculum, load context:
- The sub-project's
.studyenv/<name>/AGENTS.md, falling back to.studyenv/<name>/CLAUDE.mdfor older projects — forDomain:,Language:, learning goals, and Tools & Materials. - The harness conventions at
../../reference/conventions.md— for the curriculum format and status legends. - The sub-project's
.studyenv/<name>/ai-agent-materials/— especially any existingcurriculum.mdand source extractions (concept maps, copied excerpts). - The sub-project's
.studyenv/<name>/source-materials/— the canonical source content.
If .studyenv/<name>/ai-agent-materials/ does not exist, create it. Concept maps and excerpts are added here over time; this skill primarily writes curriculum.md.
What to write
Render or update .studyenv/<name>/ai-agent-materials/curriculum.md with the structure documented in ../../reference/conventions.md (Curriculum format section):
- An overview paragraph — what this sub-project teaches and the intended end state.
- A topics section: an ordered list of topic entries, each with
- a stable id (
T1,T2.a, …) soPROGRESS.mdcan cross-reference - a one-line description
- prerequisites (other topic ids;
noneif root) - suggested session type — one of the four core types
theory,practice,role-play,onboarding(orbothfor theory + practice).theory/practice/role-playare run viastart-session;onboardingvia the dedicatedonboard-sessionskill. Where the active overlay flavorsrole-play, the curriculum may name the flavor —simulation(Domain: speech-therapy),defense(Domain: academic-research),review/interview(Domain: coding). See../../reference/conventions.md→ Session types vs. flavors. - source references — page numbers, section anchors, URLs
- exercise hooks — short outlines of proposed practice/theory exercises; the actual exercise artifacts live in
work/, created at session time per the active domain overlay.
- a stable id (
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.
- 12d ago First seen · 79 lines · 115 tokens per session scan A 029af6c7a676
set-curriculum is a skill published in the GitHub repository TimboGP/timbogp-marketplace (3 stars, last pushed 2mo ago), licensed MIT. It adds 115 tokens to every session and 1,391 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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