iblai-api-analytics

iblai-api-analytics is a skill for Claude Code, Codex from iblai/api. It costs 97 tokens per session (4,805 once invoked), scanned A, original, MIT.

A read-only analytics connector for ibl.ai, a learning platform. It reads data about AI chat agents, courses and other learning content, organization-wide results, individual users, costs, tokens, and response times through the platform API.

In plain words
What is it for?
Use it to inspect agent conversations and ratings, course or pathway engagement, user enrollments and grades, organization KPIs, and detailed model usage. It can also create and download Data Reports, plus record a time-spent event.
Why use it?
It avoids manually collecting learning and AI-usage metrics from separate views or reports. It also points agents to the platform's live API schema so requests can be checked against the current interface.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to inspect agent conversations and ratings, course or pathway engagement, user enrollments and grades, organization KPIs, and detailed model usage. It can also create and download Data Reports, plus record a time-spent event.

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Install with agentmods
npx agentmods add skills/iblai/api/iblai-api-analytics
Install

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.

Any agent
npx skills add iblai/api --skill iblai-api-analytics
Clone the repo
git clone --depth 1 https://github.com/iblai/api

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for iblai-api-analytics

README.md
[![agentmods](https://agentmods.dev/badge/skills/iblai/api/iblai-api-analytics/github.svg)](https://agentmods.dev/skills/iblai/api/iblai-api-analytics)
Your own site
<a href="https://agentmods.dev/skills/iblai/api/iblai-api-analytics"><img src="https://agentmods.dev/badge/skills/iblai/api/iblai-api-analytics/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.

agentmods 80×15 button for iblai-api-analytics

Your own site · 80×15
<a href="https://agentmods.dev/skills/iblai/api/iblai-api-analytics"><img src="https://agentmods.dev/badge/skills/iblai/api/iblai-api-analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,805 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 6 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 28
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 29
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 33
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 42
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 44
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 251
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00097 $0.04805
Opus 5.5 $0.00039 $0.01922
Sonnet 5.5 $0.00019 $0.00961
Haiku 4.5 $0.00010 $0.00481

Measured 1mo ago against content hash 89140eb11042, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

iblai-api-analytics 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 1mo 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 -sS "https://api.iblai.app/dm/api/docs/schema/" -o /tmp/iblai_schema.yaml
skills/iblai-api-analytics/SKILL.md · 288 lines

How it starts

The opening of the file, as written. The whole thing — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.

iblai-api-analytics

Read ibl.ai analytics from the platform API. One /api/analytics/ family serves every scope; the query params decide what you get:

  • Agent (chat) analytics — add mentor_unique_id to scope any chat metric (topics, sessions, conversations, ratings, costs, transcripts) to one agent.
  • Content analytics — /api/analytics/content/, keyed by metric=courses | programs | pathways | skills, for catalog engagement and time spent.
  • Organization-wide analytics — omit mentor_unique_id for org totals.
  • Per-user analytics — a single user's enrollments, grades, time spent, engagement, and cross-platform snapshot.

Reads are read-only; the only writes are Data Reports and a time-spent event.

The schema is the contract

These endpoints live on the Data Manager service and its live OpenAPI schema is the single source of truth — the URLs and params below exist for orientation and can drift between releases. Validate against the schema before building requests:

  • Schema (raw): https://api.iblai.app/dm/api/docs/schema/
  • Swagger UI: https://api.iblai.app/dm/api/docs/
# Confirm the analytics paths you're about to call exist verbatim:
curl -sS "https://api.iblai.app/dm/api/docs/schema/" -o /tmp/iblai_schema.yaml
grep -nE "^  /api/analytics/" /tmp/iblai_schema.yaml

Treat any mismatch between this skill and the schema as a bug in the skill — the deployed schema wins.

Auth & conventions

  • dm_url = https://api.iblai.app/dm — analytics are Data Manager endpoints reached through the gateway's /dm prefix. Every URL below is written as {dm_url}/api/analytics/<path>; set dm_url=https://api.iblai.app/dm and use it as the prefix.
  • Header: Authorization: Api-Token $IBLAI_API_KEY on every request.
  • Placeholders:
    • {platform} = your workspace key = $IBLAI_ORG. On the wire it is the platform_key query param and the orgs/{platform} / platforms/{platform} path segment — same value everywhere.
    • {username} = $IBLAI_USERNAME.
    • {mentor} = an agent's unique id — optional: include mentor_unique_id={mentor} for agent scope, omit for org-wide.
  • Shared query params (available on most endpoints):
    • platform_key={platform} — the workspace key (required on most reads).
    • date_filter — today | 7d | 30d | 90d | all_time | custom. custom requires start_date and end_date (both yyyy-MM-dd).
    • mentor_unique_id={mentor} — narrows any chat metric to one agent.
    • granularity — hour | day | week | month (time-series endpoints).
    • usergroup_ids — repeat to narrow results to specific user groups.
    • page / limit — pagination on list/details endpoints.
  • Each endpoint below lists its own params; required ones are marked and enum values are given inline. [&param=value] means optional.
  • Not connected yet? Run /iblai-api-login first.

Read the full file on GitHub · 288 lines

Changes

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.

  1. 1mo ago Changed · +7 lines 89140eb11042
  2. 1mo ago First seen · 281 lines · 97 tokens per session scan A 822833938b67

Subscribe to this mod's changes

iblai-api-analytics is a skill published in the GitHub repository iblai/api (15 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 4,805 once invoked, about $0.0004 per session on Opus 5.5. 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.

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