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 evaluate-strategic-optiongit 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/evaluate-strategic-option)<a href="https://agentmods.dev/skills/daddia/claude-for-strategy/evaluate-strategic-option"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/evaluate-strategic-option/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/daddia/claude-for-strategy/evaluate-strategic-option"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/evaluate-strategic-option.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00069 | $0.00916 |
| Opus 5.5 | $0.00028 | $0.00366 |
| Sonnet 5.5 | $0.00014 | $0.00183 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
evaluate-strategic-option 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 2mo 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evaluate Strategic Option
When to use
Major strategic decisions needing staging, steelmanned case against, downside sizing, and pre-commitment kill criteria — not binary go/no-go.
What this skill does not do
- Does not evaluate vague topics — requires committable decision with scope, scale, timing.
- Does not soften case against for sponsors — steelman is mandatory.
- Does not pick winner when trade-offs unquantifiable — say so.
- Does not ship board-final without GATE.
Preconditions
| Input | If missing |
|---|---|
| Corporate-strategy + org profiles | [PROVISIONAL] balanced posture |
| Precise option statement | Ask once to narrow |
Provisional mode
[PROVISIONAL] on risk posture; structured first pass if downside inputs missing.
Trust spine
- Strategic advice vs. support (mandatory): Trade-offs and triggers; IC/board owns decision.
- Per trust-conventions for sourcing, assumptions, numbers, confidence, GATE.
Workflow
Step 1: State option precisely
Reject vague topics; require committable decision.
Step 2: Staging checklist
If plausible: initial commitment, scale trigger, abandon trigger, learning objective. If not: say why.
Step 3: Case for (brief)
3–5 bullets; tag unsourced claims.
Step 4: Case against (steelman — mandatory)
Hardest assumption, cannibalization, timing illusion, integration load, comparable bias, reversibility, sponsor momentum — apply checklist.
Step 5: Downside sizing + survivability test
Direct loss, opportunity cost, reputation, org strain. Survivable on failure: yes/no/unclear with evidence.
Step 6: Kill criteria (pre-commitment)
Dated, specific; stage-1 vs full-program if staged.
Step 7: Recommendation
Proceed staged | proceed in full | do not proceed — with confidence band.
Output format
CONFIDENCE: [...]
LOAD-BEARING ASSUMPTIONS: [...]
OPTION: [precise decision]
CAN THIS BE STAGED: [...]
CASE FOR: [...]
CASE AGAINST (steelman): [...]
DOWNSIDE SIZING: [table]
SURVIVABLE ON FAILURE: [...]
KILL CRITERIA: [...]
RECOMMENDATION: [...]
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.
- 2mo ago First seen · 114 lines · 69 tokens per session scan A e996c00b2c55
evaluate-strategic-option is a skill published in the GitHub repository daddia/claude-for-strategy (2 stars, last pushed 4mo ago), licensed MIT. It adds 69 tokens to every session and 916 once invoked, about $0.0003 per session on Opus 5.5. 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.
evaluate-strategic-option compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| evaluate-strategic-optiondaddia/claude-for-strategy | Skill | 2 | 4mo ago | MIT | A | 69 | Claude Code |
| reviewhelderberto/agent-skills | Skill | 20 | 11d ago | MIT | A | 0 | Claude Code |
| tddhelderberto/agent-skills | Skill | 20 | 11d ago | MIT | A | 71 | Claude Code |
| visual-reviewhelderberto/agent-skills | Skill | 20 | 11d ago | MIT | A | 84 | Claude Code |
| to-prhelderberto/agent-skills | Skill | 20 | 11d ago | MIT | A | 25 | Claude Code |
| to-ticketshelderberto/agent-skills | Skill | 20 | 11d ago | MIT | A | 0 | Claude Code |
| debatehelderberto/agent-skills | Skill | 20 | 11d ago | MIT | A | 28 | Claude Code |