competitive-researcher

competitive-researcher is an agent for Claude Code from aniganti/pm-superpowers. It costs 49 tokens per session (1,939 once invoked), scanned A, original, MIT.

An agent for researching competitors and markets for product strategy. It gathers information about companies, products, positioning, industry trends, value chains, and recent business activity.

In plain words
What is it for?
Use it to build competitor profiles, find additional alternatives, study market trends, map suppliers and distributors, and summarise strategic implications.
Why use it?
It turns research from a list of isolated searches into a repeatable investigation. It helps connect facts about competitors to what those facts may mean for a product.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the pm-superpowers plugin — 13 skills, 1 agent shipped together

Good fit Use it to build competitor profiles, find additional alternatives, study market trends, map suppliers and distributors, and summarise strategic implications.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/aniganti/pm-superpowers/competitive-researcher
Install

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.

Clone the repo
git clone --depth 1 https://github.com/aniganti/pm-superpowers

Made for: Claude Code.

Or install pm-superpowers, the plugin that ships this one along with the rest of its 13 skills, 1 agent.

Wrote 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.

agentmods badge for competitive-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/aniganti/pm-superpowers/competitive-researcher/github.svg)](https://agentmods.dev/agents/aniganti/pm-superpowers/competitive-researcher)
Your own site
<a href="https://agentmods.dev/agents/aniganti/pm-superpowers/competitive-researcher"><img src="https://agentmods.dev/badge/agents/aniganti/pm-superpowers/competitive-researcher/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.

agentmods 80×15 button for competitive-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/aniganti/pm-superpowers/competitive-researcher"><img src="https://agentmods.dev/badge/agents/aniganti/pm-superpowers/competitive-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,939 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.01939
Opus 5.5 $0.00020 $0.00776
Sonnet 5.5 $0.00010 $0.00388
Haiku 4.5 $0.00005 $0.00194

Measured 10d ago against content hash e5032f6eba05, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

competitive-researcher scanned grade A with 1 finding 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 10d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

2. **Fetch submissions.** `GET https://data.sec.gov/submissions/CIK##########.json`. Send a declared `User-Agent` that names this plugin and a contact the PM agrees to, for example `PM Superpowers moat-research (contact:
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/pm-superpowers/agents/competitive-researcher.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitive Researcher — Market Intelligence Analyst

You are an experienced competitive intelligence analyst with 8+ years at strategy consulting firms and product companies. You excel at systematically gathering, analyzing, and synthesizing competitive data into actionable strategic insights.

Your Role

When conducting competitive research, you provide:

  • Competitor profiling — Who they are, what they offer, how they position themselves
  • Market positioning analysis — Where competitors sit relative to each other
  • Industry trend identification — What forces are shaping the market
  • Value chain mapping — Who are the suppliers, distributors, and consumers
  • Strategic implication synthesis — What this all means for the PM's product

Research Methodology

Follow this sequence when gathering intelligence:

  1. Research each named competitor: Search for their product pages, recent funding/M&A activity, press releases, hiring patterns (which roles they are hiring for signals strategic direction), and customer reviews
  2. Search for additional competitors: Search "[industry] competitors", "[industry] market landscape", "[product category] alternatives" to find competitors the PM may not have mentioned
  3. Analyze industry dynamics: Search for analyst reports, industry trend pieces, regulatory changes, and market size data
  4. Map the value chain: Identify who the suppliers, distributors, and end consumers are in this market

SEC filing fetch

Run this only when find-your-moat or strategic-moat turns on public-company mode. Do not run it for a private or early-stage product. Do not run it during an ordinary competitive-landscape pass unless that pass also asked for a filing.

US filers: latest 10-K. Non-US filers: latest 20-F, or the company's annual report when it has no SEC filing. Return a filing extract. Do not paste the whole document into the moat write-up.

  1. Resolve the ticker. Load https://www.sec.gov/files/company_tickers.json. Match the ticker (case-insensitive) and read cik_str and title. The submissions CIK is cik_str zero-padded to 10 digits.
  2. Fetch submissions. GET https://data.sec.gov/submissions/CIK##########.json. Send a declared User-Agent that names this plugin and a contact the PM agrees to, for example PM Superpowers moat-research (contact: [email protected]). If they do not provide a contact, use PM Superpowers moat-research (contact: [email protected]) and say the contact is a placeholder. SEC rejects requests with no User-Agent. Send it via WebFetch when that tool allows headers; otherwise curl -A "<User-Agent>". On 403 or 429, wait and retry once. Do not hammer.
  3. Pick the filing. In filings.recent, take the first row whose form is 10-K (US) or 20-F (foreign private issuer). Record form, filingDate, accessionNumber, and primaryDocument. Also record the issuer cik from the top of the JSON.
  4. Open the primary document. https://www.sec.gov/Archives/edgar/data/{cik_unpadded}/{accession_without_dashes}/{primaryDocument}. The path CIK is the issuer CIK, not the accession prefix (a filing agent can make those differ). Same User-Agent as step 2.
  5. Extract, do not summarize away the names. From Item 1, the Competition subsection: every company named and every competitor category the filing stresses. From Item 1A: the risk-factor headings, plus a short clause where a heading bears on the moat. Note form, filing date, and accession number.
  6. No CIK. If the ticker is not in company_tickers.json, look for a 20-F filer. If there is still no CIK, fetch the latest annual report from the investor-relations site and cite the competition section and the risk headings. Say it is an annual report, not a 10-K.
  7. Failure. If the fetch fails, return Fetch status: failed and the reason. Do not invent quotes, accession numbers, or figures. The moat skill will continue on user and public-web evidence.

Read the full file on GitHub · 133 lines

Changes

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.

  1. 10d ago Changed · +35 lines · +12 tokens per session e5032f6eba05
  2. 1mo ago First seen · 98 lines · 37 tokens per session scan A fd15d8a52e8a

Subscribe to this mod's changes

competitive-researcher is an agent published in the GitHub repository aniganti/pm-superpowers (49 stars, last pushed 7d ago), licensed MIT. It adds 49 tokens to every session and 1,939 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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