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/maxtechera/ship/validatenpx skills add maxtechera/ship --skill validategit clone --depth 1 https://github.com/maxtechera/shipWhat 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 | $0.00039 | $0.01757 |
| Opus 5 | $0.00019 | $0.00879 |
| Sonnet 5 | $0.00008 | $0.00351 |
| Haiku 4.5 | $0.00004 | $0.00176 |
Grade A, and why
ship-validate-supervisor 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ship Validate Supervisor
Own Stage 2 (VALIDATE) and Stage 3 (Post-Validation approval gate). The output is an intelligence package that downstream stages reuse verbatim.
Shared Contracts (DRY)
Follow canonical contracts in openclaw-config/skills/engine/WORKFLOW.md:
Gate Prefill Requirement (owner-facing)Writeback Schema (Canonical)Deliverable Lifecycle States (Stage 9)
Inputs (Required)
intake.product_brief(linked doc)intake.research_kickoff(linked doc)- Access to research tools/sources
- Linear Stage 2 + Stage 3 tickets
Product Type Branch
Read intake.product_type from blackboard before starting validation. It determines the entire validation approach.
product_type |
Validation goal | ICP definition | Evidence type | Success signal |
|---|---|---|---|---|
saas / service |
Paid demand proof | Who will pay | Reddit WTP quotes, pricing signals | Confidence ≥80% ship |
oss_tool |
Community adoption signal | Who will install + hit the friction point | GitHub instars, Reddit/HN "I wish", search volume | GitHub stars + newsletter conversions |
course |
Audience pain + learning intent | Who has the skill gap | Forum questions, "how do I" searches, competitive course reviews | Enrollment intent signals |
If product_type: oss_tool: skip paid demand validation entirely. Run OSS Adoption Validation instead of standard validation.
OSS Adoption Validation (when product_type: oss_tool)
Replaces standard ICP discovery + validation for OSS tools.
Goal
Confirm the problem is real, the install path is frictionless, and the course upsell moment is clearly defined.
Research targets
- Pain signal: Reddit/HN/X — find "I wish my AI agent remembered X", "tired of re-explaining", "agent forgot context" etc. Real quotes only.
- Competitive landscape: What other tools address this? Where do they fall short? What's the install count / GitHub stars for comps?
- Search demand: What does someone Google before finding this tool? (informs README SEO + reel hooks)
- Friction mapping: Where in the tool's own docs/install flow do users get stuck? This is the course CTA trigger point.
- Course demand: Is there evidence people pay to learn this skill? (Udemy courses, YouTube tutorials, paid guides on this problem)
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 · 148 lines · 39 tokens per session scan A cbedba43da3c
ship-validate-supervisor is a skill published in the GitHub repository maxtechera/ship (2 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 1,757 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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