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/jpantsjoha/ai-native-developer-experience/operating-model-bootstrapnpx skills add jpantsjoha/ai-native-developer-experience --skill operating-model-bootstrapgit clone --depth 1 https://github.com/jpantsjoha/ai-native-developer-experienceWrote 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/jpantsjoha/ai-native-developer-experience/operating-model-bootstrap)<a href="https://agentmods.dev/skills/jpantsjoha/ai-native-developer-experience/operating-model-bootstrap"><img src="https://agentmods.dev/badge/skills/jpantsjoha/ai-native-developer-experience/operating-model-bootstrap.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 | $0.00065 | $0.03126 |
| Opus 5 | $0.00032 | $0.01563 |
| Sonnet 5 | $0.00013 | $0.00625 |
| Haiku 4.5 | $0.00006 | $0.00313 |
Grade A, and why
operating-model-bootstrap 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 4d 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operating Model Bootstrap
When to use
- Starting a new repository or team project that will use AI agents or agent-harness skills
- Adopting this harness into an existing project for the first time
- Defining or repairing authority, risk tiers, lane isolation, or evidence-binding contracts
- Coordinating parallel human and agent lanes safely (worktrees, ownership, integration)
- Binding review to an exact candidate commit before R2/R3 work
- Correcting fragmented or contradictory rules across AGENTS.md, CLAUDE.md, and GEMINI.md
Establish a portable operating kernel and one tracked project profile. Treat humans, agents, skills, tools, and gates as one delivery system with explicit authority, ownership, evidence, and completion semantics. The day-one seed lets a new team begin system design and delivery planning while explicitly owned project unknowns are resolved.
Project awareness — seven areas to establish at init
The bootstrap must establish or explicitly own each of the following. Required areas must
be answered before the profile leaves seed state. Optional areas have a recommended
default; record not yet established — owner: role; required before: trigger for any
unknown rather than leaving it blank or fabricating a value.
| # | Area | Status | Default if not declared |
|---|---|---|---|
| 1 | Product vision, objectives, actors, scope, out-of-scope, SOW / acceptance record | Required | None — must be declared |
| 2 | Team roster: PO, SMEs, integration owner, reviewer roles, escalation path | Required | None — must be declared |
| 3 | Technical stack: language, framework, architecture, repos, interfaces, runtime | Required | None — must be declared |
| 4 | Tooling: package manager, linter, type checker, unit / integration / e2e test commands | Optional — recommended defaults | Linting + validation + unit tests minimum |
| 5 | Cloud, hosting, data classification, residency, compliance, approved-vendor constraints | Optional — advised | Deduced from stack; invoke governance-guardrail to confirm policy alignment |
| 6 | Automation: CI/CD, branch policy, release process, deployment owner, rollback | Optional — default provided | GitHub SemVer + tag-based releases; invoke release-manager to document and confirm |
| 7 | Delivery controls: source of truth, issue/PR conventions, DoD, escalation triggers | Optional — default provided | GitHub stack; this repository's issues, ADRs, and architecture docs are the source of truth |
What ships with it
17 files 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.
- agents/openai.yaml 246 B
- assets/adapters/AGENTS.md.template 1.1 KB
- assets/adapters/CLAUDE.md.template 1.1 KB
- assets/adapters/GEMINI.md.template 1.1 KB
- assets/CHANGELOG.template.md 387 B
- assets/CHECKPOINT.template.yaml 1.3 KB
- assets/DELIVERY-WORKFLOW.template.md 3.3 KB
- assets/EVIDENCE-MANIFEST.template.yaml 1.2 KB
- assets/OPERATING-MANUAL.md 17 KB
- assets/PROJECT-OPERATING-PROFILE.template.md 12 KB
- assets/ROADMAP.template.md 1.1 KB
- assets/STATUS.template.md 792 B
- assets/VISION.template.md 2.7 KB
- references/DAY-ONE-EXAMPLE.md 3.7 KB
- scripts/bootstrap_operating_model.py 7.4 KB runs code
- scripts/inspect_repo.py 10 KB runs code
- scripts/validate_operating_model.py 14 KB runs code
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.
- 4d ago First seen · 253 lines · 65 tokens per session scan A ac576e13d41f
operating-model-bootstrap is a skill published in the GitHub repository jpantsjoha/ai-native-developer-experience (11 stars, last pushed 27d ago), licensed Apache-2.0. It adds 65 tokens to every session and 3,126 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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