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 johnqtcg/awesome-skills --skill stock-peer-comparison-reviewgit clone --depth 1 https://github.com/johnqtcg/awesome-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/johnqtcg/awesome-skills/stock-peer-comparison-review)<a href="https://agentmods.dev/skills/johnqtcg/awesome-skills/stock-peer-comparison-review"><img src="https://agentmods.dev/badge/skills/johnqtcg/awesome-skills/stock-peer-comparison-review/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/johnqtcg/awesome-skills/stock-peer-comparison-review"><img src="https://agentmods.dev/badge/skills/johnqtcg/awesome-skills/stock-peer-comparison-review.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 | $0.00127 | $0.03114 |
| Opus 5.5 | $0.00051 | $0.01246 |
| Sonnet 5.5 | $0.00025 | $0.00623 |
| Haiku 4.5 | $0.00013 | $0.00311 |
Grade A, and why
stock-peer-comparison-review 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 1mo 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Peer Comparison Review
Purpose
Most single-stock analyses fall into one of two failure modes:
- Tunnel vision: declaring the target has a "wide moat" or "industry-leading margins" without ever showing what the peer set actually does.
- Peer-set selection bias: comparing only against weaker peers to flatter the target.
This worker fixes both. It loads a fixed 12-item ratio panel, computes the target and each peer on the same definition, and surfaces the rank position. The Industry and Business workers can claim "Azure is gaining share" — this worker reports the ratios that either confirm or contradict the claim independent of narrative.
The output is a small, dense, rank-ordered comparison table. It is not a recommendation; it is the independent data the orchestrator uses to validate the moat and market-share claims of other workers.
When To Use
- Orchestrator dispatches in Standard or Strict depth (Tier-1 always-on at those depths).
- Lite depth and a peer set of >=2 names exists and the question is valuation- or moat-shaped ("expensive", "cheap", "fair price", "moat", "vs peers", "losing share") -> dispatched in Lite mode: General 12-item panel only, no archetype-specific extension. See
stock-analysis-lead/references/dispatch-protocol.mdPart 1 Tier 1 for the authoritative trigger. - User explicitly asks "how does X compare to peers".
- A specific competitive claim ("losing share", "best-in-class margins") needs independent verification.
When NOT To Use
- Lite depth with no peer set, or a Lite question that is not valuation/moat-shaped — the Tier-1 trigger does not fire and the orchestrator scores the peer-dependent items
UNSCOREDrather than guessing. - Companies with no comparable peers (rare, but e.g., single-issuer ADRs, novel asset classes).
- Sector ETFs or funds (compose peer index instead).
Mandatory Gates
1) Peer Set Validation Gate
Must use 2–4 peers identified by the orchestrator (typically from the 10-K Item 1 Competition section + WebSearch). Reject peer-set selections that are obviously cherry-picked weaker:
- All peers materially smaller than target (>10× revenue gap)
- All peers in distressed states
- Peer set excludes the obvious #1 in the category
What ships with it
3 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.
- 1mo ago First seen · 243 lines · 127 tokens per session scan A 11002fc2e03e
stock-peer-comparison-review is a skill published in the GitHub repository johnqtcg/awesome-skills (30 stars, last pushed 18d ago), licensed MIT. It adds 127 tokens to every session and 3,114 once invoked, about $0.0005 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 2026-08-30.
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