Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add vasuag09/harness-claude/plugin install harness-claudeWrote 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/vasuag09/harness-claude/deploy)<a href="https://agentmods.dev/skills/vasuag09/harness-claude/deploy"><img src="https://agentmods.dev/badge/skills/vasuag09/harness-claude/deploy.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 | $0.00112 | $0.01601 |
| Opus 5 | $0.00056 | $0.00800 |
| Sonnet 5 | $0.00022 | $0.00320 |
| Haiku 4.5 | $0.00011 | $0.00160 |
Grade A, and why
deploy scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
node scripts/eval/continuous.js --cmd 'curl -fsS https://<deployed-url>/health' How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/deploy — detect, plan, arm, deploy, smoke, guard
Goal: take a change that has passed the harness's gates and /harness-claude:ship has prepared, and
drive it out to a running environment — using whatever deploy mechanism the project already has —
with the same boundary discipline the rest of the harness applies to outward actions. The pipeline's
front door stops at the repo edge; /harness-claude:deploy is the step past it. The discipline is
arm-to-fire: plan the deploy and run pre-checks, then stop and wait for an explicit arm
before anything leaves your machine.
Opt-in. Invoked explicitly; nothing auto-deploys. Git boundary:
/harness-claude:deploynever commits, pushes, or branches. Arm-to-fire boundary: it performs no real outward action (deploy or rollback) until you type the explicit arm signal — planning and smoke-checks are safe; firing is not, and is never implied by "looks good."
When /harness-claude:deploy, when /harness-claude:ship
/harness-claude:shipprepares a clean commit / PR summary and stops at the repo boundary. It is the last in-repo step./harness-claude:deployis the first out-of-repo step — it pushes an already-shipped change to a live environment and verifies it there. Runshipfirst;deploydoes not commit your work.
How it works
detect mechanism → name rollback path → pre-deploy smoke → ARM-TO-FIRE HALT
→ (on `arm deploy`) deploy in tmux → smoke the DEPLOYED artifact → guarded rollback on failure
Do this
- Detect the deploy mechanism — never prescribe one. Find the project's existing mechanism, in
priority order:
vercel.json/ Vercel project →Dockerfile(+ registry/compose) → aMakefiledeploy/releasetarget → CI config (.github/workflows, etc.) →package.jsonscripts.deploy→ other declared scripts. When a platform skill matches what you detect, delegate to it rather than reinventing (e.g.vercel:deploy/vercel:vercel-cliwhen a Vercel project is present). If no mechanism is found, say so and stop — do not invent a deploy command. (AC-D1) - Name the rollback path up front. Before anything else, state the concrete rollback for the
detected mechanism — e.g.
vercel rollback, redeploy the previous image tag, re-run CI on the previous SHA. Surface it in the plan. If no rollback path is identifiable, say so explicitly so the risk is visible before the HALT. (AC-D2) - Run pre-deploy smoke checks. Confirm the change is actually deployable: repo green
(
/harness-claude:health), build succeeds, working tree clean. Surface any failure now, not after firing. If the build breaks, delegate theharness-claude:build-error-resolveragent to get it green. - HALT — arm-to-fire. Show the deploy plan: detected mechanism, exact command, target
environment, and the rollback path from step 2. Then STOP. Do not proceed until the user types
arm deploy. "The plan looks fine" is not an arm; only the explicit signal fires. (AC-D4) - On
arm deploy: deploy in tmux. Run the deploy command inside a tmux session (tooling default — long deploys survive and stream). If a build break appears mid-deploy, delegate theharness-claude:build-error-resolveragent; re-arm before re-firing. (AC-D6) - Smoke-test the DEPLOYED artifact, then guard. Verify the live target, not just local tests —
reuse
/harness-claude:health's runner against the deployed URL:
(or the project's smoke suite pointed at the deployed target). (AC-D3) On failure: surface the rollback command from step 2 and execute it only if the user typesnode scripts/eval/continuous.js --cmd 'curl -fsS https://<deployed-url>/health'arm rollback; otherwise HALT with the rollback ready. Never leave a known-broken deploy silently in place. (AC-D5)
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.
- 5d ago First seen · 84 lines · 112 tokens per session scan A f468c3712f7b
deploy is a skill published in the GitHub repository vasuag09/harness-claude (2 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 1,601 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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