Agent Swarm is a self-hosted operating system for coordinating AI agents as a company-wide workforce. A lead agent assigns work to workers running in isolated containers, while shared memory, tools, schedules, workflows, and review gates preserve and manage that work. The catalogue entries provide agents, commands, skills, hooks, and other extensions for operating the system.
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/desplega-ai/agent-swarmWrote 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/commands/desplega-ai/agent-swarm/investigate-sentry-issue)<a href="https://agentmods.dev/commands/desplega-ai/agent-swarm/investigate-sentry-issue"><img src="https://agentmods.dev/badge/commands/desplega-ai/agent-swarm/investigate-sentry-issue/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/commands/desplega-ai/agent-swarm/investigate-sentry-issue"><img src="https://agentmods.dev/badge/commands/desplega-ai/agent-swarm/investigate-sentry-issue.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 | $0.00010 | $0.00596 |
| Opus 5.5 | $0.00004 | $0.00238 |
| Sonnet 5.5 | $0.00002 | $0.00119 |
| Haiku 4.5 | $0.00001 | $0.00060 |
Grade A, and why
investigate-sentry-issue scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investigate Sentry Issue
Investigate a Sentry issue to understand the error, gather context, and prepare for fixing or triaging.
Prerequisites
SENTRY_AUTH_TOKEN and SENTRY_ORG must be set. Verify with sentry-cli info.
Arguments
sentry-issue-url-or-id: A Sentry issue URL or just the issue ID (e.g.,123456)
Workflow
1. Parse the Input
If given a URL (https://sentry.io/organizations/{org}/issues/{issue_id}/), extract the issue ID.
2. Get Issue Overview
sentry-cli issues list --id <issue-id>
3. Get Detailed Info via REST API
Use https://sentry.io/api/0/organizations/${SENTRY_ORG}/issues/<issue-id>/ for metadata (first/last seen, event count, user impact, status).
4. Get Full Stacktrace
Use the recommended event endpoint: .../issues/<issue-id>/events/recommended/
Key jq paths for the response:
.entries[] | select(.type == "exception")— exception with stacktrace.entries[] | select(.type == "exception") | .data.values[].stacktrace.frames— stack frames.entries[] | select(.type == "breadcrumbs")— actions leading to the error.tags— environment, browser, OS info.context— custom context data
5. Analyze and Report
- Identify the failing file and line number
- Understand the error type and message
- Review breadcrumbs for the sequence of events
- Check tags for environment-specific issues
6. Take Action (if appropriate)
sentry-cli issues resolve <issue-id> # Resolve
sentry-cli issues mute <issue-id> # Mute
sentry-cli issues unresolve <issue-id> # Unresolve
Search Query Syntax
Use these filters with sentry-cli issues list --query:
| Filter | Example | Description |
|---|---|---|
is: |
is:unresolved |
Issue status |
lastSeen: |
lastSeen:-2d |
Seen within time range |
message: |
message:undefined |
Match error message |
issue.category: |
issue.category:error |
Error category |
Tips
- Always get the recommended event first — it's curated for debugging
- Check breadcrumbs to understand user actions before the error
- If investigating from a Slack alert, the issue URL is in the alert message
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 · 76 lines · 10 tokens per session scan A fc4915e26f8b
investigate-sentry-issue is a command published in the GitHub repository desplega-ai/agent-swarm (1,012 stars, last pushed yesterday), licensed MIT. It adds 10 tokens to every session and 596 once invoked, about $0.0000 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 2026-08-30.
investigate-sentry-issue compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| investigate-sentry-issuedesplega-ai/agent-swarm | Command | 1.0k | yesterday | MIT | A | 10 | Claude Code |
| tokenless-statsalibaba/anolisa | Command | 603 | 1mo ago | Apache-2.0 | A | 10 | Claude Code |
| kf-supportinclusionAI/Avernet | Command | 601 | yesterday | Apache-2.0 | A | 26 | Claude Code |
| service-checkAbilityai/trinity | Command | 741 | yesterday | Apache-2.0 | A | 0 | Claude Code |
| doctoropensesh/KARIMO | Command | 290 | 25d ago | Apache-2.0 | A | 0 | Claude Code |
| cct-sop-alertinclusionAI/Avernet | Command | 601 | yesterday | Apache-2.0 | A | 37 | Claude Code |
| buzz-crawlinginclusionAI/Avernet | Command | 601 | yesterday | Apache-2.0 | A | 28 | Claude Code |