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 agentmods add commands/intense-visions/harness-engineering/deploymentgit clone --depth 1 https://github.com/Intense-Visions/harness-engineeringWhat 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 | $0.00018 | $0.00304 |
| Opus 5 | $0.00009 | $0.00152 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
harness:deployment 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 2d 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
Phases:
- enforce: Run harness check-deployment; block on hard violations, advise on gaps, abstain loudly with no config
- detect: Identify existing CI/CD configuration and deployment targets
- analyze: Evaluate pipeline structure, stages, and environment separation
- design: Recommend deployment strategy improvements and missing stages
- validate: Verify pipeline correctness and environment isolation
<execution_context> @agents/skills/claude-code/harness-deployment/SKILL.md @agents/skills/claude-code/harness-deployment/skill.yaml </execution_context>
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.
- 2d ago First seen · 44 lines · 18 tokens per session scan A b63e17846f8e
harness:deployment is a command published in the GitHub repository Intense-Visions/harness-engineering (19 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 304 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
monitor-ci
Monitors pull request CI checks until they are resolved (pass or fail).
monitor-ci
You are the orchestrator for monitoring Nx Cloud CI pipeline executions and handling self-healing fixes. You spawn the ci-monitor-subagent subagent to poll CI status and make decisions based on the results.
actions
Command "actions" from openclaw/crabbox, covering actions, subcommands, hydrate, register and dispatch.
ci-report
Generate a CI failure report for PR $PRNUMORURL (or current branch if no argument given).
check-release-health
Summarize the CI health of an OpenShift release using live data from the openshift-ci-mcp server.
ci-health
Check all GitHub Actions workflows for failures, create P0 tickets, gate each ticket, and auto-fix safe failures.