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 blisspixel/primr --skill primr-strategygit clone --depth 1 https://github.com/blisspixel/primrWrote 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/blisspixel/primr/primr-strategy)<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>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 | $0.00035 | $0.00465 |
| Opus 5 | $0.00017 | $0.00233 |
| Sonnet 5 | $0.00007 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00047 |
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.
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
platformwhen generatingai_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: readprimr://strategies/availableand retry. -
missing_platform: ask for the target platform.
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.
- 7d ago First seen · 125 lines · 35 tokens per session scan A a6079550f94f
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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