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 agentmods add skills/iblai/api/iblai-api-catalognpx skills add iblai/api --skill iblai-api-cataloggit clone --depth 1 https://github.com/iblai/apiWrote 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/iblai/api/iblai-api-catalog)<a href="https://agentmods.dev/skills/iblai/api/iblai-api-catalog"><img src="https://agentmods.dev/badge/skills/iblai/api/iblai-api-catalog.svg" alt="Measured on agentmods" 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 | $0.00077 | $0.05524 |
| Opus 5 | $0.00039 | $0.02762 |
| Sonnet 5 | $0.00015 | $0.01105 |
| Haiku 4.5 | $0.00008 | $0.00552 |
Grade A, and why
iblai-api-catalog scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -G \ How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iblai-api-catalog
Manage an organization's learning catalog from the API: courses, programs, pathways, and resources; the skills and roles taxonomy (including each user's desired/reported skills and roles); course and program metadata; plus enrollment (course / program / pathway, admin and self), eligibility checks, catalog search, and course reviews. Use when populating the catalog, enrolling users, checking who can take what, or curating the skills/roles graph.
Auth & conventions
- Base URL:
https://api.iblai.app/dm— these are Data Manager (DM) endpoints, so the/dmprefix is required; the/api/catalog/...paths below are appended to it (e.g.https://api.iblai.app/dm/api/catalog/courses/). - Header:
Authorization: Api-Token $IBLAI_API_KEYon every request. - Path vars:
{org}=$IBLAI_ORG(a.k.a.org/platform_key/platform_orgon the wire),{username}=$IBLAI_USERNAME. Org/user are passed as query params or body fields, not baked into the path. - DELETE / destructive / outward-facing calls say "Confirm with the user first."
course_idvalues must be URL-encoded in query strings.- Not connected yet? Run
/iblai-api-loginfirst to populateIBLAI_ORG,IBLAI_USERNAME, andIBLAI_API_KEY.
Reads
Courses
- GET
/api/catalog/courses/— retrieve courses; filter bycourse_id,slug(case-insensitive),org(query params). Returns[{course_id, name, slug, org}].
Programs
- GET
/api/catalog/programs/— retrieve programs; filter byprogram_id,course_id,name,slug,enabled,org(query params). Returns[{program_id, org, slug, name, program_type, platform_key, enabled, course_list}].
Pathways
- GET
/api/catalog/pathways/— retrieve pathway(s); filter (query params) bypathway_id,pathway_uuid,user_id/username,platform_key,item_id,name,slug(case-insensitive),visible. Returns a (non-paginated) list of pathways, each with apath[]of items.
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.
- 4d ago First seen · 277 lines · 77 tokens per session scan A d49507c51568
iblai-api-catalog is a skill published in the GitHub repository iblai/api (15 stars, last pushed 3d ago), licensed MIT. It adds 77 tokens to every session and 5,524 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
jupyter-notebook
Create, scaffold, or refactor Jupyter notebooks (.ipynb) for experiments and tutorials. Prefer the bundled templates and the helper script (newnotebook.py, also exposed as newnotebook) to generate a clean starting notebook instead of authoring raw notebook JSON.
onboarding
Getting started guide for new users. Walks through setup validation, the skill/agent hierarchy, and the three most useful commands per role (developer, PM, tech lead). Use when someone is new to the workstation or asks "where do I start?".
lesson
Produce or continue a deep-dive learning-track lesson (a focused mini-course on a hard subject the project needs), or review the user's track exercise work. Use when the user asks for the next lesson, help with a track exercise, or to start a new track.
explainer
Create explainer videos with narration and AI-generated visuals. Triggers on: "解说视频", "explainer video", "explain this as a video", "tutorial video", "introduce X (video)", "解释一下XX（视频形式）".
lov-subtitle-freedom
Create learner-friendly English subtitles with level-aware glosses and optional spoiler-safe subtitle sidecars.
learning-mode
Hands-on mentoring: the agent scaffolds work, then pauses so the engineer writes small, meaningful code (roughly 5–15 lines) for practice. Use when the user enables learning mode, asks for guided mentoring, hands-on practice, collaborative coding, or teaching while building a feature.