primr-strategy

primr-strategy is a skill for Claude Code, Codex from blisspixel/primr. It costs 35 tokens per session (465 once invoked), scanned A, original, Apache-2.0.

A tool for turning an existing Primr research report into a strategy document. Primr is a research system, and the report provides the evidence that the strategy interprets.

In plain words
What is it for?
Use it to create AI, customer-experience, security, or data strategy documents from completed research. It can also support quality review of the source report or generated strategy.
Why use it?
It prevents strategy work from starting without a research basis. It also checks which strategy types are currently available and estimates the cost before generation.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to create AI, customer-experience, security, or data strategy documents from completed research. It can also support quality review of the source report or generated strategy.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/blisspixel/primr/primr-strategy
Install

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.

Any agent
npx skills add blisspixel/primr --skill primr-strategy
Clone the repo
git clone --depth 1 https://github.com/blisspixel/primr

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for primr-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/blisspixel/primr/primr-strategy.svg)](https://agentmods.dev/skills/blisspixel/primr/primr-strategy)
Your own site
<a href="https://agentmods.dev/skills/blisspixel/primr/primr-strategy"><img src="https://agentmods.dev/badge/skills/blisspixel/primr/primr-strategy.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 465 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.00465
Opus 5 $0.00017 $0.00233
Sonnet 5 $0.00007 $0.00093
Haiku 4.5 $0.00003 $0.00047

Measured 7d ago against content hash a6079550f94f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

primr-strategy 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 7d 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.

openclaw/skills/primr-strategy/SKILL.md · 125 lines

What it actually says

Primr Strategy Skill

Conceptual Framework

Strategy generation is a post-research step. The report is the evidence base; the strategy output is a structured interpretation of that evidence, not a substitute for validation.

Use primr://strategies/available to discover the current strategy set and requirements instead of relying on static tables.

Operational Capabilities

1. Inspect strategy options

Read primr://strategies/available to confirm available strategy IDs, expected effort, and whether a platform is required.

2. Generate the requested strategy

Before generate_strategy, call estimate_strategy, tell the user it incurs real API cost, get explicit approval, and pass max_estimated_cost_usd when available. Then call generate_strategy with a concrete report path and strategy type.


generate_strategy(report_path="output/exampleco/report.md", strategy_type="customer_experience", max_estimated_cost_usd=0.25)

3. Validate output quality

Offer run_qa on the generated strategy or source report when the user wants review.

Constraints

  • Verify the report exists before generation.

  • Ask for platform when generating ai_strategy.

  • Do not promise exact runtime or price from the skill text; Primr behavior can evolve.

Error Handling

  • report_not_found: locate the report first or run research.

  • invalid_strategy_type: read primr://strategies/available and retry.

  • missing_platform: ask for the target platform.

Changes

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.

  1. 7d ago First seen · 125 lines · 35 tokens per session scan A a6079550f94f

Subscribe to this mod's changes

primr-strategy is a skill published in the GitHub repository blisspixel/primr (3 stars, last pushed 4d ago), licensed Apache-2.0. It adds 35 tokens to every session and 465 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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