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 iblai/api --skill iblai-api-agent-historygit 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-agent-history)<a href="https://agentmods.dev/skills/iblai/api/iblai-api-agent-history"><img src="https://agentmods.dev/badge/skills/iblai/api/iblai-api-agent-history.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 8 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 30 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 31 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 32 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 34 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 43 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 56 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 64 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.
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 | $0.00062 | $0.01029 |
| Opus 5 | $0.00031 | $0.00515 |
| Sonnet 5 | $0.00012 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
iblai-api-agent-history 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 8d 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 -s \ How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
iblai-api-agent-history
Read an agent's conversation history and summaries through the API: list the conversations users have had with an agent (filterable by sentiment, topic, user, and date), read the general summary and per-conversation memory, and export the full chat history as a report. Use when reviewing or exporting how users have chatted with an agent.
Auth & conventions
- Base URL:
https://api.iblai.app - Header:
Authorization: Api-Token $IBLAI_API_KEYon every request. - Path vars:
{org}=$IBLAI_ORG,{username}=$IBLAI_USERNAME,{mentor}= the agent's unique id (e.g.d17dc729-60fd-4363-81a0-f67d9318b03e). - Conversation reads go through the AI-analytics host —
paths under
…/dm/api/ai-analytics/…. - Export goes through the reports endpoints (
…/dm/api/reports/…) and is async: a POST creates the report, then you GET-poll until the download URL is ready. - Not connected yet? Run
/iblai-api-loginfirst to populateIBLAI_ORG,IBLAI_USERNAME, andIBLAI_API_KEY.
Reads
- GET
https://api.iblai.app/dm/api/ai-mentor/orgs/{org}/users/{username}/mentors/{mentor}/public-settings/— gating (whether history is available for this agent). - GET
https://api.iblai.app/dm/api/ai-analytics/orgs/{org}/users/{username}/chat-history/?mentor={mentor}&page={n}&page_size=10&sentiment={s}&topics={t}&filter_user_id={id}&start_date={d}&end_date={d}— conversation list (paginated; sentiment / topics / user / date filters). - GET
https://api.iblai.app/dm/api/ai-analytics/orgs/{org}/users/{username}/chat-history-filter/?mentor_id={mentor}&monthly_range=false&start_date=&end_date=— available filter options (sentiments, topics, users). - GET
https://api.iblai.app/dm/api/ai-mentor/orgs/{org}/users/{username}/mentors/{mentor}/summaries/general/— general summary, average rating, and topics. - GET
https://api.iblai.app/dm/api/ai-mentor/orgs/{org}/users/{username}/memory/{conversationId}/— per-conversation memory.
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.
- 8d ago First seen · 76 lines · 62 tokens per session scan A b864eacfe3ea
iblai-api-agent-history is a skill published in the GitHub repository iblai/api (15 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 1,029 once invoked, about $0.0003 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.
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