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-campaigngit 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-campaign)<a href="https://agentmods.dev/skills/metagit-ai/metagit-cli/metagit-campaign"><img src="https://agentmods.dev/badge/skills/metagit-ai/metagit-cli/metagit-campaign/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-campaign"><img src="https://agentmods.dev/badge/skills/metagit-ai/metagit-cli/metagit-campaign.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 | $0.00037 | $0.00458 |
| Opus 5 | $0.00018 | $0.00229 |
| Sonnet 5 | $0.00007 | $0.00092 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
metagit-campaign 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.
What it actually says
Metagit campaign skill
Use when coordinating many repos under one intent (rollout, migration, tier stamp) with a committed, diffable status overlay.
Docs: campaigns.md · Registry: modality-feature-registry.md
When to use
- One selection query → frozen repo list → per-repo status/MR tracking
- Fan-out spine objectives for parallel agents (
campaign expand) - Rollup: merged vs open MR vs blocked without manual spreadsheets
Configuration
# metagit.config.yaml
workspace:
campaigns_path: _campaigns # default; or knowledge/campaigns
Env: METAGIT_WORKSPACE_CAMPAIGNS_PATH
Lifecycle
export METAGIT_AGENT_MODE=true
metagit campaign new --slug tier-full --title "Full-tier rollout" \
--query "platform" --tag agent_tier=full
metagit campaign validate
metagit campaign expand --slug tier-full --dry-run
metagit campaign expand --slug tier-full
metagit campaign set --slug tier-full --repo platform/api --status merged --mr "https://…"
metagit campaign status --slug tier-full --json
Agent posture before repo work
metagit agent profile show -p platform -n api --json
metagit agent apply --vendor claude_code --project platform --repo api
Orchestrator polling
metagit context events --campaign tier-full --since "<iso-cursor>" --json
Related skills
metagit-multi-repo·metagit-control-center·metagit-context-pack
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 · 63 lines · 37 tokens per session scan A 746cd18c7d9d
metagit-campaign is a skill published in the GitHub repository metagit-ai/metagit-cli (3 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 458 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.
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