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 skills add metagit-ai/metagit-cli --skill metagit-control-centergit clone --depth 1 https://github.com/metagit-ai/metagit-cliWrote 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/metagit-ai/metagit-cli/metagit-control-center)<a href="https://agentmods.dev/skills/metagit-ai/metagit-cli/metagit-control-center"><img src="https://agentmods.dev/badge/skills/metagit-ai/metagit-cli/metagit-control-center/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/metagit-ai/metagit-cli/metagit-control-center"><img src="https://agentmods.dev/badge/skills/metagit-ai/metagit-cli/metagit-control-center.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 | $0.00032 | $0.01217 |
| Opus 5 | $0.00016 | $0.00609 |
| Sonnet 5 | $0.00006 | $0.00243 |
| Haiku 4.5 | $0.00003 | $0.00122 |
Grade A, and why
metagit-control-center scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metagit Control Center Skill
Use this skill when an agent should actively coordinate repository context and task execution across a workspace.
Purpose
Provide a repeatable control-center workflow where Metagit MCP guides awareness, synchronization, and operational continuity over multiple related repositories.
Bundled scripts (optional)
Helper scripts live under scripts/ when the full skill tree is installed. Hermes
skill_manage copies SKILL.md only — scripts are not present unless you also run
metagit skills install --skill metagit-control-center.
Resolve scripts from the PyPI package (works whenever metagit-cli is installed):
SKILL_ROOT="$(python3 -c "import metagit, pathlib; print(pathlib.Path(metagit.__file__).parent / 'data/skills/metagit-control-center')")"
"$SKILL_ROOT/scripts/control-cycle.sh" [root_path] ["query"] [preset]
Or from a full skill install:
"${HERMES_HOME:-$HOME/.hermes}/skills/metagit-control-center/scripts/control-cycle.sh" .
Wrapper behavior:
- runs gating status first
- optionally runs upstream discovery for blocker queries
- emits compact, machine-readable lines
Inline CLI fallback (no scripts)
Use when skill scripts are unavailable (Hermes SKILL-only install, no shell helpers):
export METAGIT_AGENT_MODE=true
metagit mcp serve --status-once --root .
metagit context pack --tier 1 --json -c .metagit.yml
metagit prompt workspace -k health-preflight --text-only -c .metagit.yml
# blocker may be upstream — search managed repos:
metagit search "error signature" -c .metagit.yml --json
metagit prompt workspace -k sync-safe --text-only -c .metagit.yml
Core Workflows
1) Session Initialization
- Run context pack + session prompt first (see
metagit-context-packskill):
metagit context pack --tier 2 --json -c .metagit.yml
metagit prompt workspace -k session-start --text-only -c .metagit.yml
- Validate active workspace gate (
metagit mcp serve --status-onceor gate script). - Read
metagit://workspace/configandmetagit://workspace/repos/status(MCP) or tier-1 pack JSON (CLI). - Call
metagit_project_context_switchwhen the objective is tied to a workspace project. - Run
metagit_workspace_health_checkor readmetagit://workspace/healthfor maintenance signals. - Identify stale repos and unresolved blockers from prior activity.
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.
- 10d ago First seen · 126 lines · 32 tokens per session scan A dae15e05da1e
metagit-control-center is a skill published in the GitHub repository metagit-ai/metagit-cli (3 stars, last pushed 2d ago), licensed MIT. It adds 32 tokens to every session and 1,217 once invoked, about $0.0002 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.
Other skills, from other repositories
daf-workflow
DevAIFlow session context loader — reads session metadata, issue tracker tickets, and context files. Auto-activates when DAFSESSIONNAME is set. Also useful when asked about current task, session status, or workflow steps for daf open, daf new, daf git new, daf jira new, and daf investigate.
create-issue
Draft and submit a GitHub issue from a user idea or bug description, with bilingual body and correct labels.
gh-assign-issues
Use to assign GitHub issues to a milestone and/or owners in bulk, verifying each.
github
Drive GitHub via the official gh CLI — repos, issues, pull requests, releases, gists, Actions runs, and raw REST through gh api. Use when the user asks to inspect or manage GitHub.
gh
GitHub CLI skill for interacting with GitHub via the gh command line tool. Use when Bub needs to (1) Create, view, or manage GitHub repositories, (2) Work with issues and pull requests, (3) Create and manage releases, (4) Run and monitor GitHub Actions workflows, (5) Create and manage gists, or (6) Perform any GitHub…
meegle
A guide and command-line interface for managing Feishu/Lark Meego project data, including work items, workflow steps, views, personal tasks, and schedules. Feishu/Lark is a collaboration platform, while Meego is its project-management system.