What is sklik-ppc-app CLAUDE.md?

Project-specific instructions for sklik-ppc-app, a Python command-line tool for managing online advertising campaigns in Seznam’s Sklik service. They describe setup, code organization, authentication, accounts, and API usage.

Adding or changing commands for campaigns, ads, keywords, reports, targeting, banners, and related Sklik account operations.

They help a coding agent understand the campaign tool’s structure and its rules for authentication, request limits, paging, errors, and machine-readable output.

How faborsky/sklik-ppc-app configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to faborsky/sklik-ppc-app. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/faborsky/sklik-ppc-app/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/faborsky/sklik-ppc-app

Made for: Claude Code.

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

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Your own site

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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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/faborsky/sklik-ppc-app/claude-md"><img src="https://agentmods.dev/badge/instructions/faborsky/sklik-ppc-app/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 3,185 This file is loaded in full into every session.

When invoked 3,185 The same file — it is already loaded in full.

Security scan A 0 findings. 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.

Model	Per session	Once invoked
Fable 5.1	$0.03185	$0.03185
Opus 5	$0.01592	$0.01592
Sonnet 5	$0.00637	$0.00637
Haiku 4.5	$0.00318	$0.00318

Measured 2d ago against content hash c2fa481b68e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

sklik-ppc-app CLAUDE.md 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 2d 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.

CLAUDE.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sklik Search App — CLI for Sklik DRAK API

Python CLI for managing PPC search & display campaigns on Seznam Sklik via the DRAK JSON API. Built to be driven by a human and by Claude Code: structured --json I/O, parseable errors, and a self-enforcing per-account request budget.

Setup

source venv/bin/activate && python sklik_cli.py <command> [flags]
# or: ./run.sh <command> [flags]

Code structure

The implementation is a package under sklik/; sklik_cli.py is a thin entrypoint.

sklik/api.py — engine: config, account/token discovery, auth + session cache, the cross-session request budget (rate limiting), _api_call, paging of list methods (_fetch_all, _list_page_size), and structured errors (_fail / _fail_msg).
sklik/fenix.py — engine for the Fénix REST API (api.sklik.cz/v1, Seznam Nákupy): separate auth (SKLIK_FENIX_REFRESH_TOKEN → 1h access token cached per account+managed user in .fenix_cache_<account>.json), fenix.call(), cursor paging (fenix.fetch_all()), poll_report() for async stats. Reuses api._fail_msg. Needs a premiseId (shop) via fenix.resolve_premise().
sklik/formatting.py — CZK⇄haléře conversion + _output_json.
sklik/reports.py — two-step report helper (createReport → readReport).
sklik/images.py — image loading/base64 shared by combined ads and banners.
sklik/commands/*.py — one module per domain (account, campaigns, groups, keywords, ads, research, sitelinks, conversions, retargeting, banners, placements, nakupy).
sklik/cli.py — argparse wiring + dispatch.

Shared mutable state (ACTIVE_ACCOUNT, _JSON_OUTPUT, session) lives in api.py and changes only through api.set_account() / api.set_json_output(). Fénix keeps its own ACTIVE_USER_ID in fenix.py (fenix.set_user_id()), because there the managed account is chosen when the token is minted, not per call. Command modules read it via the api module — never from sklik.api import ACTIVE_ACCOUNT, which would copy a stale value. BASE_DIR in api.py resolves to the project root, so .env and the .session_cache_* / .rate_limit_* files stay where they were.

Read the full file on GitHub · 92 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.

2d ago Changed · +6 lines · +666 tokens per session c2fa481b68e2
10d ago First seen · 86 lines · 2,519 tokens per session scan A 8a27a1afd2ca

Subscribe to this mod's changes

sklik-ppc-app CLAUDE.md is an instructions file published in the GitHub repository faborsky/sklik-ppc-app (13 stars, last pushed 2d ago), licensed MIT. It adds 3,185 tokens to every session, about $0.0159 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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