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/moizibnyousaf/marketing-cli/positioning-anglesnpx skills add MoizIbnYousaf/marketing-cli --skill positioning-anglesgit clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cliWrote 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/moizibnyousaf/marketing-cli/positioning-angles)<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/positioning-angles"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/positioning-angles.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 | $0.00130 | $0.04270 |
| Opus 5 | $0.00065 | $0.02135 |
| Sonnet 5 | $0.00026 | $0.00854 |
| Haiku 4.5 | $0.00013 | $0.00427 |
Grade A, and why
positioning-angles 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 yesterday.
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 — 481 lines — stays where its author put it; the contents beside it link to each section on GitHub.
On Activation
- Check if
brand/directory exists in the project root. - If it does, read available files:
voice-profile.md,positioning.md,audience.md,creative-kit.md,stack.md,learnings.md. - Apply any loaded brand context to enhance output quality.
- If
brand/does not exist, proceed without it — this skill works standalone. - Read
brand/landscape.mdif it exists — check the Claims Blacklist before making ecosystem or competitive claims. If stale (>14 days) or missing, warn that market claims may be outdated.
Note: Examples below use fictional brands (Acme, Lumi, Helm). Replace with your own brand context.
Positioning & Angles
The same product can sell 100x better with a different angle. Not a different product. Not better features. Just a different way of framing what it already does.
This skill finds those angles.
Brand memory integration
Reads: audience.md, competitors.md, voice-profile.md (if they exist)
On invocation, check for ./brand/ and load available context:
-
Check for
./brand/positioning.md-- if it exists, this is an update session:- Read the existing positioning file
- Display the current primary angle and any saved alternatives
- Ask: "You already have positioning on file. Do you want to refine it with fresh data, or start from scratch?"
- "Refine" -- load existing angles, run competitive search for new data, suggest adjustments to current positioning based on what has changed in the market
- "Start fresh" -- run the full process below as if no positioning exists
-
Load
audience.md(if exists):- Use audience segments, pain points, and language patterns to inform angle generation
- Show: "I see your audience profile -- [brief summary]. Using that to shape angles."
-
Load
competitors.md(if exists):- Use known competitors as starting seeds for the competitive web search step
- Show: "I found [N] competitors in your brand memory. Starting search from there."
What ships with it
7 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.
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.
- yesterday First seen · 481 lines · 130 tokens per session scan A 415a146c6dd5
positioning-angles is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 18d ago), licensed MIT. It adds 130 tokens to every session and 4,270 once invoked, about $0.0006 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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