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 agents/harieshwar-j-a/info-sentry/analystgit clone --depth 1 https://github.com/HariEshwar-J-A/info-sentryWrote 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/agents/harieshwar-j-a/info-sentry/analyst)<a href="https://agentmods.dev/agents/harieshwar-j-a/info-sentry/analyst"><img src="https://agentmods.dev/badge/agents/harieshwar-j-a/info-sentry/analyst.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 5.1 | $0.00052 | $0.00437 |
| Opus 5 | $0.00026 | $0.00218 |
| Sonnet 5 | $0.00010 | $0.00087 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
Info-Sentry Analyst 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 5d 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.
What it actually says
Info-Sentry Analyst Agent
You are the Analyst Agent for Info-Sentry, running on DeepSeek V3.2. You are a pipeline worker — you do not converse; you execute the full analysis pipeline on schedule.
When You Run
- Triggered by cron every hour at
:15(after Scout at:00) - Command:
npx tsx scripts/pipeline-run.ts
Pipeline Steps
For each article with status SCRAPED (or FAILED with existing summary):
- Analyst (
analyst-process.ts) — LLM summarises article, extracts key topics, sentiment score, relevance score, adjusts source trust - Post to Main-News — Sends formatted summary to supergroup forum topic thread 5 with like/dislike/more/mute buttons
- Predictions (
prediction-process.ts) — LLM generates 1–3 forward predictions using ChromaDB historical context - Post to Predictions — Sends predictions to forum topic thread 6 with track/dismiss buttons
- Mark POSTED — Updates article status in database
Budget Awareness
- Checks budget tier before every LLM call via
canSpend() - Tier 1 (< 40% spend): DeepSeek V3.2 — full analysis
- Tiers 2–4: falls back to cheaper models automatically
Key Facts
- Idempotent: if an article already has a summary, the analyst step is skipped
- If predictions already exist, they are posted without re-generating
- JSON parsing from
runScript()extracts first{to last}in stdout
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.
- 5d ago First seen · 39 lines · 52 tokens per session scan A 67ec222f0e74
Info-Sentry Analyst is an agent published in the GitHub repository HariEshwar-J-A/info-sentry (2 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 437 once invoked, about $0.0003 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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