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 map-competitive-landscapegit 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/map-competitive-landscape)<a href="https://agentmods.dev/skills/daddia/claude-for-strategy/map-competitive-landscape"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/map-competitive-landscape/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/map-competitive-landscape"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/map-competitive-landscape.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 | $0.00052 | $0.01772 |
| Opus 5 | $0.00026 | $0.00886 |
| Sonnet 5 | $0.00010 | $0.00354 |
| Haiku 4.5 | $0.00005 | $0.00177 |
Grade A, and why
map-competitive-landscape 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 9d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Map Competitive Landscape
When to use
CI and product strategy practitioners grouping competitors by strategic logic — cost structure, segment, channel, model — not surface product labels.
What this skill does not do
- Does not forecast responses — route to
/market-intelligence:forecast-competitive-response. - Does not test positioning — route to
/market-intelligence:test-positioning. - Does not invent market share data — tag figures
[verify]or omit.
Preconditions
| Input | If missing |
|---|---|
| Market definition (practice profile or user) | Ask; do not assume category from product name alone |
| Named competitors or candidate set | Ask user to name players; flag [review] if list may be incomplete |
| Practice profile | Proceed from user input; label assumptions |
Provisional mode
Thin competitor list: output groups with explicit UNDER-THE-RADAR THREAT: unknown — competitor set incomplete flag; do not present white space as validated.
Trust spine
- Confidence bands (
structured-aggregation):- High: MECE groups, mobility barriers rated with evidence, white space hypothesis stated with structural rationale.
- Medium: Groups solid, some barrier ratings
[review], under-the-radar scan attempted. - Low: Incomplete competitor set or category-only grouping — scaffold only.
- Failure modes:
- Strategic advice vs. support: Surfaces groups and threats; does not recommend which position to take.
- Client confidentiality: Competitor intelligence sensitive — CONFIDENTIAL header per plugin
CLAUDE.md. - Accountability gap: White space labeled attractive vs. structurally unattractive — strategist validates.
- Analytical Rigor: Groups MECE by strategic logic; mobility barriers falsifiable.
- Incentive Gaming: N/A for this shape.
- Escalation triggers: User insists on category-only grouping — explain failure mode, proceed only if acknowledged.
Assumption audit
Before grouping, audit assumptions that would invalidate the map:
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.
- 9d ago First seen · 155 lines · 52 tokens per session scan A 69c211b5c6f7
map-competitive-landscape is a skill published in the GitHub repository daddia/claude-for-strategy (2 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 1,772 once invoked, about $0.0003 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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