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 levnikolaevich/claude-code-skills --skill ln-51-opportunity-evaluatorgit clone --depth 1 https://github.com/levnikolaevich/claude-code-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/levnikolaevich/claude-code-skills/ln-51-opportunity-evaluator)<a href="https://agentmods.dev/skills/levnikolaevich/claude-code-skills/ln-51-opportunity-evaluator"><img src="https://agentmods.dev/badge/skills/levnikolaevich/claude-code-skills/ln-51-opportunity-evaluator/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/levnikolaevich/claude-code-skills/ln-51-opportunity-evaluator"><img src="https://agentmods.dev/badge/skills/levnikolaevich/claude-code-skills/ln-51-opportunity-evaluator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00032 | $0.01991 |
| Opus 5 | $0.00016 | $0.00996 |
| Sonnet 5 | $0.00006 | $0.00398 |
| Haiku 4.5 | $0.00003 | $0.00199 |
Grade A, and why
ln-51-opportunity-evaluator 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 5d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opportunity Evaluator
Goal: Evaluate product opportunities before implementation commitment. Start from observable demand and a reachable acquisition path, eliminate weak candidates early, and recommend one low-cost validation step without manufacturing market precision.
Execution contract: The ordered checkboxes are the Definition of Done. Track every item internally as PENDING, PROVEN with concrete evidence, CLEARED with evidence that its condition is absent, or UNPROVEN with a gap; reading, delegation, or tool failure is not proof. Reconcile items after each section. Before returning, resolve all PENDING and count only PROVEN and CLEARED; apply the skill's verdict and approval rules to every gap.
Preserve user intent, scope, and existing authorization. Continue authorized work; ask only for consequential unresolved choices or required external approval. Scale depth to material risk without silently skipping checks. Preserve dependency and safety ordering; otherwise choose the verification method appropriate to each obligation.
Tool Routing
| Need | Preferred tool | Use it when | Fallback |
|---|---|---|---|
| Product and constraints | User context plus existing product, analytics, customer, and strategy documents | Establishing audience, assets, channels, economics, and non-goals | State assumptions and request only consequential missing intent |
| Current demand and acquisition | Web research, trend or marketplace data, communities, reviews, ads, directories, and primary customer evidence | Every external market claim that affects elimination or recommendation | Mark the signal unavailable; never infer a number from search-result count |
| Competition and pricing | Competitor product pages, pricing, release history, distribution channels, reviews, and public filings where relevant | Establishing substitutes, willingness-to-pay signals, and credible differentiation | Use qualitative evidence with explicit confidence |
| Feasibility and validation cost | Existing capabilities, public APIs, regulations, platform rules, and current official documentation | Comparing the cheapest credible experiment and major blockers | Label estimates and name the evidence still required |
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.
- 5d ago Changed · -12 lines · -6 tokens per session e9790a845ad7
- 11d ago First seen · 111 lines · 38 tokens per session scan A 1c693522e82d
ln-51-opportunity-evaluator is a skill published in the GitHub repository levnikolaevich/claude-code-skills (559 stars, last pushed 5d ago), licensed MIT. It adds 32 tokens to every session and 1,991 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 2026-08-30.
Other skills, from other repositories
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dev-finish
Close out a session — summarise what changed, capture what was learned, and prepare the commit.
dev-cycle
Run a feature end to end — scout the code, plan it, build it, and keep a session file so a closed terminal doesn't lose the thread.
dev-rc
The last gate before merge — QA, security audit, review and changelog, with objective pass conditions.
log
Capture front door. Logs 1..N observations as card files at docs/work/{ID}.md (BUG / DEBT / GAP), gateway-inline — no dispatch. Use when the user says "log this", "track that", "note this down", or types /super-bootstrap:log — and when Claude needs to file its own findings (out-of-scope findings from a review, audit…
triage
Read-only grounding phase for a card — every card''s pickup. /super-bootstrap:triage {ID} dispatches the triage subagent (inherit — the session owner's model) to ground the card cold — premise verify, aim validate, blast collect — and append a Verdict block — ## Verdict — auto-fix · {date} (Fix-shape / Probe-deps /…