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 stefanoskarakasis/Product-Marketing-Skills --skill alternatives-mapgit clone --depth 1 https://github.com/stefanoskarakasis/Product-Marketing-SkillsWrote 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/stefanoskarakasis/product-marketing-skills/alternatives-map)<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/alternatives-map"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/alternatives-map/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/stefanoskarakasis/product-marketing-skills/alternatives-map"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/alternatives-map.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 | $0.00109 | $0.03644 |
| Opus 5.5 | $0.00044 | $0.01458 |
| Sonnet 5.5 | $0.00022 | $0.00729 |
| Haiku 4.5 | $0.00011 | $0.00364 |
Grade A, and why
alternatives-map 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 11d 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 — 351 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alternatives Map
How This Works
Buyers don't evaluate products in isolation — they evaluate against what
they're already doing or could do instead. Most teams map only their
direct competitors and miss the alternative that actually wins the most
deals: the status quo. This skill builds the map from evidence — win/loss
notes, sales call transcripts, review-site quotes, analyst reports — across
all four types a buyer actually considers, not just named vendors, and
deepens your brain's existing Section 3 in place. positioning-messaging
needs 3+ alternatives before it builds, and positioning-ideas asks for them if
the brain has none — this is the researched source both read.
Step 0 — Load brain Section 3 (current alternatives, however thin) and
any guardrails from /context/meta-patterns.md.
Step 1 — Gather and name across all four alternative types: direct competitors, adjacent tools, DIY/internal build, and status quo. Status quo is never optional — in most B2B markets it beats every named competitor combined.
Step 2 — Map each alternative across three layers: why buyers choose it, why buyers leave it, and the unclaimed territory that leaves open. Status quo gets a fourth: the real reason for inaction, distinct from the stated one.
Step 3 — Deepen brain Section 3 with the map (on user confirmation).
Step 4 — Learning Close: log the session to /context/skill-sessions.md.
Trigger
- When: Defining or sharpening who buyers actually compare you to from research data — win/loss notes, sales call transcripts, G2/Capterra reviews, analyst reports, competitor sites — or when brain Section 3 has fewer than 3 named alternatives, no status quo, or generic "competitors" instead of named products.
- Not for: Turning a confirmed alternatives map into positioning
options or copy →
positioning-ideas(divergent options) orpositioning-messaging(shippable copy), run after. Full brain build from zero →product-marketing-context, run first if no brain exists at all. - Example prompts:
- "Map our alternatives from these 6 win/loss notes"
- "Here are 10 sales call transcripts — who do we actually compete with"
- "Our alternatives section just says 'legacy tools and spreadsheets'"
- "Build the competitive map before we run positioning"
What ships with it
1 file 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.
- 11d ago Changed · -2 lines · -13 tokens per session f3dbb2dd132c
- 16d ago Changed · +2 lines 0793abf68e6d
- 17d ago Changed · +1 lines e351e9cb2192
- 19d ago Changed f98dbe0f3f69
- 20d ago Changed · +12 lines b4b3422e9bc6
- 25d ago Changed · +14 lines fbd53cb274ff
- 1mo ago First seen · 324 lines · 122 tokens per session scan A 55750c0e9702
alternatives-map is a skill published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (8 stars, last pushed 3d ago), licensed MIT. It adds 109 tokens to every session and 3,644 once invoked, about $0.0004 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 2026-09-16.
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