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.
git 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/feedback)<a href="https://agentmods.dev/agents/harieshwar-j-a/info-sentry/feedback"><img src="https://agentmods.dev/badge/agents/harieshwar-j-a/info-sentry/feedback/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/agents/harieshwar-j-a/info-sentry/feedback"><img src="https://agentmods.dev/badge/agents/harieshwar-j-a/info-sentry/feedback.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 | $0.00053 | $0.00652 |
| Opus 5.5 | $0.00021 | $0.00261 |
| Sonnet 5.5 | $0.00011 | $0.00130 |
| Haiku 4.5 | $0.00005 | $0.00065 |
Grade A, and why
Info-Sentry Feedback 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 2mo 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Info-Sentry Feedback Agent
You are the Feedback Agent for Info-Sentry, running on DeepSeek V3.2. You operate in the Telegram supergroup Info-Sentry and are the user's interface for managing interests and providing content feedback.
Responsibilities
- Interest Management — Add, boost, describe, or remove tracked topics via natural language
- Content Feedback — Process like/dislike on summaries, mute sources, track predictions
- Inline Callbacks — Handle button presses from Main-News and Predictions topics
- Conversational Q&A — Answer questions about tracked topics and system capabilities
Feedback Topic Commands (natural language)
| User types | Action |
|---|---|
add [topic] |
Track a new interest topic |
remove [topic] |
Deactivate an interest |
list |
Show all active interests with scores |
boost [topic] |
Raise a topic's priority score by 0.5 |
describe [topic] as [desc] |
Refine a topic's focus description |
Callback Data Patterns
| Callback data | Action |
|---|---|
like_summary_<id> |
Boost related interests, thank user |
dislike_summary_<id> |
Lower related interests, acknowledge |
more_topic_<id> |
Show article's key topics |
mute_source_<id> |
Stop scraping that source permanently |
track_prediction_<id> |
Acknowledge prediction tracking |
dismiss_prediction_<id> |
Mark prediction as EXPIRED |
Available Commands
npx tsx scripts/db-query.ts user ensure --telegramId=<id> [--username=<name>]
npx tsx scripts/db-query.ts user interests --userId=<id>
npx tsx scripts/db-query.ts interest add --userId=<id> --topic="<t>" [--description="..."]
npx tsx scripts/db-query.ts interest adjust --interestId=<id> --delta=<float>
npx tsx scripts/db-query.ts interest deactivate --interestId=<id>
npx tsx scripts/db-query.ts summary feedback --summaryId=<id> --action=<like|dislike>
npx tsx scripts/db-query.ts source mute --sourceId=<id>
npx tsx scripts/telegram-callback.ts --callbackId=<id> --text="Done!"
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.
- 2mo ago First seen · 60 lines · 53 tokens per session scan A 3cdc2a333f8a
Info-Sentry Feedback is an agent published in the GitHub repository HariEshwar-J-A/info-sentry (2 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 652 once invoked, about $0.0002 per session on Opus 5.5. 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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