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/close-issue)<a href="https://agentmods.dev/commands/desplega-ai/agent-swarm/close-issue"><img src="https://agentmods.dev/badge/commands/desplega-ai/agent-swarm/close-issue.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 | $0.00012 | $0.00343 |
| Opus 5 | $0.00006 | $0.00171 |
| Sonnet 5 | $0.00002 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00034 |
Grade A, and why
close-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 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.
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
Close Issue
Close a GitHub or GitLab issue with an appropriate closing comment summarizing the resolution.
Provider detection: Check the URL or remote to determine the VCS provider:
- If GitHub → use
gh issue close/gh issue comment - If GitLab → use
glab issue close/glab issue note
Arguments
issue-number-or-url: Either an issue number (e.g.,123) or a full issue URL
Workflow
- Parse the input — if given a URL, extract owner, repo, and issue number. If just a number, use the current repo context.
- Ensure repo is cloned to
/workspace/personal/<repo-name>(clone withgh repo cloneif needed). - Get issue details — read the issue title, body, comments, and check for related PRs.
- Generate closing comment — summarize what was done, reference related PRs/commits, note any follow-ups.
- Post comment and close:
gh issue close <issue-number> --comment "Your closing comment" --reason completed
Closing Reasons
completed— The issue was resolvednot_planned— Won't fix / out of scope / duplicate
Tips
- Always explain why the issue is being closed
- Reference specific PRs or commits when applicable
- If closing as "not planned", explain the reasoning
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 · 39 lines · 12 tokens per session scan A 714df71b6636
close-issue is a command published in the GitHub repository desplega-ai/agent-swarm (749 stars, last pushed yesterday), licensed MIT. It adds 12 tokens to every session and 343 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
dashboard-session-fork
Fork a session into a new one. Usage /dashboard:session-fork.
dashboard-session-hide
Hide a session from the dashboard list. Usage /dashboard:session-hide.
hatch3r-roadmap
Sequence delivery phases over time into a dependency-ordered milestone plan with business and technical lenses, emitting a todo.md rollout schedule rather than design docs.
hatch3r-migration-plan
Create a phased migration plan for a major dependency or framework upgrade. Analyzes breaking changes and produces an actionable plan with rollback procedures.
hatch3r-pack-install
Walk the user through the pack trust-model gate (tier + signature + body-scan + capability declaration), confirm the trust posture, then delegate the verified install to hatch3r-pack-installer.
init
Use when the user invokes /goal-flight init to scaffold Goal Flight project state for a long-running orchestrated repository run.