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 skills add daddia/claude-for-strategy --skill target-operating-modelgit clone --depth 1 https://github.com/daddia/claude-for-strategyWrote 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/daddia/claude-for-strategy/target-operating-model)<a href="https://agentmods.dev/skills/daddia/claude-for-strategy/target-operating-model"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/target-operating-model.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 | $0.00054 | $0.01540 |
| Opus 5 | $0.00027 | $0.00770 |
| Sonnet 5 | $0.00011 | $0.00308 |
| Haiku 4.5 | $0.00005 | $0.00154 |
Grade A, and why
target-operating-model 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 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.
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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Target Operating Model
When to use
Design TOM across capability, org, process, technology, data — anchored to stated ambition and current-state gap.
What this skill does not do
- Does not invent platform names — use profile vocabulary or
INPUT NEEDED. - Does not approve architecture — draft for ARB/steering.
- Does not sequence delivery — hand off to
roadmap-builder.
Preconditions
Load org + transformation profiles; provisional mode available.
Provisional mode
Generic layering; platform terms INPUT NEEDED — see workflow below.
Trust spine
Narrative-synthesis bands; layer constraints flagged; GATE before board/exec final.
Purpose
Produce a TOM design a transformation lead can defend in architecture review and steering — each layer follows from the one above, uses the org's platform vocabulary, and flags where one layer's design constrains another.
Precondition: load profiles
Before designing, read both:
~/.claude/plugins/config/claude-for-strategy/org-profile.md~/.claude/plugins/config/claude-for-strategy/transformation/CLAUDE.md
If missing or template, surface practice setup bounce with /transformation:practice-setup or "provisional".
Provisional mode
Defaults: generic capability → org → process → tech → data layering; no named EA principles; platform layer uses INPUT NEEDED: confirm house platform terms. Tag [PROVISIONAL].
Workflow
Step 1: Orient
| Question | Answer |
|---|---|
| Current state | Operating reality today — structure, systems, key processes |
| Ambition | Target outcome this TOM closes |
| Scope | Enterprise / BU / platform / product line |
| Layers in scope | All five or subset (confirm if user narrows) |
| Audience | Working design / architecture review / steering / board |
| Evidence pack | Architecture docs, org charts, process maps — what's available |
If ambition or current state is unclear, ask before designing.
Step 2: EA principles check
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 · 181 lines · 54 tokens per session scan A c760f602bb09
target-operating-model is a skill published in the GitHub repository daddia/claude-for-strategy (2 stars, last pushed 2mo ago), licensed MIT. It adds 54 tokens to every session and 1,540 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 2026-09-03.
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