Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mishahanin/heading-osnpx agentmods add skills/mishahanin/heading-os/sentinelWrote 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/mishahanin/heading-os/sentinel)<a href="https://agentmods.dev/skills/mishahanin/heading-os/sentinel"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/sentinel/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/skills/mishahanin/heading-os/sentinel"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/sentinel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Excessive Agency · line 7 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00061 | $0.01505 |
| Opus 5 | $0.00030 | $0.00753 |
| Sonnet 5 | $0.00012 | $0.00301 |
| Haiku 4.5 | $0.00006 | $0.00151 |
Grade A, and why
sentinel 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 9d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sentinel -- Unified Comms Monitor
Manage the Sentinel background daemon that monitors corporate email (Exchange) and Telegram for urgent messages.
Trigger
Activate when the user says "sentinel", "/sentinel", "start sentinel", or "stop sentinel". Also activate on "sentinel status", "check sentinel", "is sentinel running", and "comms monitor". Any question about the background monitoring system activates it too.
Actions
Parse the user's intent and run the appropriate command:
Default (no arguments / just "/sentinel")
Check status first. If Sentinel is already running, show the status. If it is NOT running, start it in daemon mode automatically, then show the status.
python scripts/sentinel.py --status
# If output says "NOT running" -> start daemon, then show status again:
python scripts/sentinel.py --daemon && python scripts/sentinel.py --status
Start Sentinel (foreground)
python scripts/sentinel.py
Start Sentinel (background/headless)
python scripts/sentinel.py --daemon
Test mode (single cycle, dry-run -- notifications are logged, never sent)
python scripts/sentinel.py --test
Check status
python scripts/sentinel.py --status
Stop daemon
python scripts/sentinel.py --stop
View recent logs
tail -50 .sentinel/sentinel.log
Edit configuration
Read and present the live config for editing. The real config is private
instance data at <data-root>/config/sentinel_config.yaml (resolved via
get_data_config_dir()); the engine ships scripts/sentinel_config.example.yaml
as the template/fallback. On the transitional CEO workspace the data root is
in-tree, so the live file is config/sentinel_config.yaml.
Configuration
Config file: config/sentinel_config.yaml (private data-config; engine fallback
scripts/sentinel_config.example.yaml)
Key settings:
general.check_interval_minutes-- polling frequency (default: 15)general.urgency_threshold-- minimum score to trigger notification (default: 7, scale 1-10)email.vip_senders-- emails that always get elevated priorityemail.ignore_patterns-- senders/patterns to skip entirelytelegram.monitored_chats-- specific groups/channels to watchnotification.dedup_cooldown_minutes-- do not repeat the same alert within N minutes (default: 60). Where alerts LAND is not a config key: they go out over the notifications bot toSENTINEL_TELEGRAM_TARGET(falling back toODIN_CADENCE_TELEGRAM_TARGET) in.env.digest.morning_time/digest.evening_time-- daily summary times (local TZ)calendar.enabled-- enable meeting invite monitoring (default: true)calendar.auto_accept-- auto-accept policy-compliant invitescalendar.auto_decline-- auto-decline non-compliant invites (non-VIP)calendar.escalate_vip-- always escalate VIP/external senderscalendar.protected_blocks-- protected time windows from CEO Calendar Policycalendar.day_themes-- weekly theme structure for topic alignment
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 152 lines · 61 tokens per session scan A 62fb4ec6d16a
sentinel is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed 3d ago), licensed Apache-2.0. It adds 61 tokens to every session and 1,505 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 2026-09-03.
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