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 skills/wallkop/opc-develop/shipnpx skills add wallkop/opc-develop --skill shipgit clone --depth 1 https://github.com/wallkop/opc-developWhat 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 | $0.00070 | $0.00947 |
| Opus 5 | $0.00035 | $0.00474 |
| Sonnet 5 | $0.00014 | $0.00189 |
| Haiku 4.5 | $0.00007 | $0.00095 |
Grade A, and why
ship 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ship
Deploy one verified increment to the test environment, obtain the human verdict, then merge.
Load
${CLAUDE_PLUGIN_ROOT}/shared/core-contract.md${CLAUDE_PLUGIN_ROOT}/shared/packs/release-ops.md${CLAUDE_PLUGIN_ROOT}/shared/packs/evidence.md${CLAUDE_PLUGIN_ROOT}/shared/packs/feedback-routing.md${CLAUDE_PLUGIN_ROOT}/shared/packs/branch-worktree.md- For the touchpoint:
${CLAUDE_PLUGIN_ROOT}/shared/formats/report-style.md
Stages
When the project has a release ledger, resume after the latest fresh release entry with
result: ok. Refresh evidence and recollect any applicable manifest whenever the content tree
changes.
- Precheck and classify evidence:
- Build: run
opc_increment.py check --require real-service-core-journey,check_gate_chain.py docs/features/<slug>, andopc_ledger.py audit --require-increment-complete. Require the plan, receipt, approved demo/PRD/testcase artifacts, reviews, resolved rework, and test-env runbook. - Lite: confirm no exact Build trigger applies; run focused regressions, matching risk checks, the smallest relevant real-entry check, and the project's complete predeploy/release gate. Record commit/diff, commands, exits, and evidence through the project's native mechanism. Do not create Build feature artifacts, approvals, reviews, or receipts solely for release. Both routes require the real test-env runbook. Release intent does not change the route.
- Build: run
- manifest: inspect the actual diff per
release-ops.md. Build writes its feature release manifest. Lite uses the project's native release artifact or a concise release ledger/handoff record only when operational changes exist; do not create a feature directory for an ordinary code-only Lite release. Every DDL item has rollback; secret values never enter artifacts; provider/dashboard changes have an owner. - env-test + deploy-test: apply manifest items to test in order, back up shared data before DDL, and deploy per runbook.
- regression-test:
- Build: execute the same approved Core-Case and regression suite through the project testcase runner against test and attach runner-generated evidence.
- Lite: rerun the focused regression and matching real-entry check against test; use a matching project testcase when one exists, without requiring a new testcase catalog. In both routes attach honest build/origin/session/object/trace/state facts where available. Do not rerun a real provider to diagnose a harness failure.
- acceptance-test: present the real test entry, scoped change or Build result card, applicable
manifest, safety checks, and highest supported completion claim. Route the verdict:
- approved: Build runs
opc_increment.py accept --actor <role>; Lite records the human verdict through the project release evidence/ledger, then continue; - implementation defect: re-enter the originating Lite change or Build slice, invalidate stale evidence, fix, and resume at test deploy;
- wrong journey/object/plan: reject the candidate, revise the result card or earliest explicit artifact, and invalidate downstream evidence;
- taste change: create a new increment; the human decides whether this one still ships.
- approved: Build runs
- merge: merge to the project trunk, push, and clean worktrees. Fold into a living spec only when the project uses one and the increment changes durable behavior.
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.
- 2d ago First seen · 72 lines · 70 tokens per session scan A c68204545262
ship is a skill published in the GitHub repository wallkop/opc-develop (11 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 947 once invoked, about $0.0003 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.
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