What is apify-easy-competitive-intelligence?

A competitive-intelligence workflow that gathers current web data about competitors, pricing, customers, hiring, content, and search visibility. It uses Apify actors, which are automated web-data collection programs.

Comparing competitors and pricing, researching customer opinions, tracking hiring or content signals, analyzing SEO, and building battlecards.

It provides up-to-date evidence for competitive analysis instead of relying only on remembered information.

apify-easy-competitive-intelligence — Skill for Claude Code and Codex

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.

Any agent

npx skills add apify/awesome-skills --skill apify-easy-competitive-intelligence

Clone the repo

git clone --depth 1 https://github.com/apify/awesome-skills

Made for: Claude Code, Codex.

Or install awesome-skills, the plugin that ships this one along with the rest of its 14 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/apify/awesome-skills/apify-easy-competitive-intelligence.svg)](https://agentmods.dev/skills/apify/awesome-skills/apify-easy-competitive-intelligence)

Your own site

<a href="https://agentmods.dev/skills/apify/awesome-skills/apify-easy-competitive-intelligence"><img src="https://agentmods.dev/badge/skills/apify/awesome-skills/apify-easy-competitive-intelligence.svg" alt="Measured on agentmods" height="20"></a>

Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,548 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Privilege Escalation · line 46
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00143	$0.02548
Opus 5	$0.00072	$0.01274
Sonnet 5	$0.00029	$0.00510
Haiku 4.5	$0.00014	$0.00255

Measured 9d ago against content hash 075ed8037a42, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

apify-easy-competitive-intelligence 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.

skills/apify-easy-competitive-intelligence/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitive Intelligence

Real-time competitive intelligence powered by live web data via Apify actors. Never answer competitive questions from training knowledge alone. Always gather live data first, then analyze.

Prerequisites

Apify CLI v1.5.0+ (npm install -g apify-cli), or Apify MCP server
Authenticated session (apify login or APIFY_TOKEN env var)

CLI rules: Always pass --json, --user-agent apify-awesome-skills/apify-easy-competitive-intelligence, and 2>/dev/null.

Run actor: apify actors call "ACTOR_ID" -i 'INPUT' --user-agent apify-awesome-skills/apify-easy-competitive-intelligence --json 2>/dev/null → returns run metadata with defaultDatasetId
Fetch results: apify datasets get-items DATASET_ID --user-agent apify-awesome-skills/apify-easy-competitive-intelligence --format json > /tmp/results.json 2>/dev/null — save locally, parse from file:
- Quick extraction: jq '.[] | "\(.field1) | \(.field2)"' /tmp/results.json
- Aggregation: python3 -c "import json; d=json.load(open('/tmp/results.json')); ..."
- Tabular: --format csv > /tmp/results.csv + python3 with csv.DictReader
- Flags: --limit N, --offset N, --format json|jsonl|csv|xlsx|xml
- Output fields: apify datasets info DATASET_ID --json | jq .fields
Fetch schema: apify actors info "ACTOR_ID" --input --user-agent apify-awesome-skills/apify-easy-competitive-intelligence --json 2>/dev/null

If CLI is unavailable and Apify MCP server is connected, use MCP call-actor / fetch-actor-details / get-actor-output directly.

Authentication

If a CLI command fails with an auth error, authenticate using one of these methods:

OAuth (interactive): apify login (opens browser)
Environment variable: export APIFY_TOKEN=your_token_here
From .env file: source .env (if the file contains APIFY_TOKEN=...)

Generate token: https://console.apify.com/settings/integrations

Actor Registry

Every actor call follows three steps:

Read — find the actor's section in reference/actor-schemas.md. Use the exact verified input and follow the "How to find" instructions for URLs/slugs.
Discover — verify platform URLs and slugs (e.g. via SERP) as described in the actor's schema section. Do not guess — wrong slugs silently return empty or wrong data.
Run — call the actor with verified input.

Read the full file on GitHub · 148 lines

Files

What ships with it

10 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.

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.

9d ago First seen · 148 lines · 143 tokens per session scan A 075ed8037a42

Subscribe to this mod's changes

apify-easy-competitive-intelligence is a skill published in the GitHub repository apify/awesome-skills (249 stars, last pushed today), licensed Apache-2.0. It adds 143 tokens to every session and 2,548 once invoked, about $0.0007 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.

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