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 samber/cc-skills --skill copywriting-ctagit clone --depth 1 https://github.com/samber/cc-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/samber/cc-skills/copywriting-cta)<a href="https://agentmods.dev/skills/samber/cc-skills/copywriting-cta"><img src="https://agentmods.dev/badge/skills/samber/cc-skills/copywriting-cta/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/samber/cc-skills/copywriting-cta"><img src="https://agentmods.dev/badge/skills/samber/cc-skills/copywriting-cta.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 60 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00169 | $0.02873 |
| Opus 5 | $0.00084 | $0.01437 |
| Sonnet 5 | $0.00034 | $0.00575 |
| Haiku 4.5 | $0.00017 | $0.00287 |
Grade A, and why
copywriting-cta 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 7d 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 — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Questions: Ask the user through the environment's question tool — never as plain-text prose. One question at a time, 2–4 tappable options, wait for the answer. If the environment has no question tool, ask in prose with the same options, one at a time.
End-of-Article CTA Designer
Designing an end-of-article CTA is a function of three inputs: the objective (what action), the audience (who reads it, in what relationship to the author), and the context (independent writing, newsletter, brand publication). Get those three right and the copy + form follow almost mechanically. Skip them and you get the universal failure mode: a generic "Subscribe for more" or "Learn More" that converts at the noise floor.
This skill runs a tight interview to capture those three inputs, then prescribes a CTA: copy (what it says), form (how it looks and sits on the page), mechanism (whether to use urgency, scarcity, curiosity, reciprocity, social proof, or none), an A/B test plan, and an accessibility check.
Workflow
Run the four steps below in order. Do not skip the interview. The user may have given partial context already; pull what's available from the conversation, then ask only for the missing pieces.
Step 1 — Interview
Ask one question at a time. Do not stack questions in prose. Each question must have 2-4 tappable options. Fall back to free text only if the answer genuinely cannot be enumerated.
Ask these in order, skipping any already answered:
Q1. Article context. Options: Personal / independent blog or essay · Newsletter / paid publication (Substack, beehiiv, Ghost, etc.) · Brand / company / content-marketing blog · Other (free text)
Q2. Primary objective. (Pick the one outcome you most want from a reader who finishes the article. If they say "all of them," push back: multiple objectives is the #1 cause of CTA failure.)
Options:
Newsletter / email subscriptionSocial follow / personal brandingLead generation (download / gated asset)Product or service signup / free trialDemo or sales call bookingDirect purchaseCommunity join (Discord / Slack / forum)Engagement (reply / comment / share / restack)Reader support (paid subscription / tip / sponsorship)Try-it / direct action (use the code, run the tool, fork the template, open the calculator)Other (free text)
What ships with it
5 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.
- 7d ago Changed · -63 tokens per session bdc1e93bb285
- 12d ago First seen · 202 lines · 232 tokens per session scan A 7a95ecd40240
copywriting-cta is a skill published in the GitHub repository samber/cc-skills (209 stars, last pushed 5d ago), licensed MIT. It adds 169 tokens to every session and 2,873 once invoked, about $0.0008 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
golang-testing
Production-ready Golang tests — table-driven tests, testify suites and mocks, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, code coverage, integration tests, idiomatic test naming. Use when writing or reviewing Go tests, choosing a testing approach, setting up Go test CI…
golang-benchmark
Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with…
golang-continuous-integration
GitHub Actions CI/CD pipeline configuration for Golang projects — workflow files for test, lint, SAST, coverage and vulnerability-scan jobs, Dependabot and Renovate config files, GoReleaser release pipelines, Docker build/push, repository security settings, and AI-driven PR review. Use when setting up or improving Go…
golang-database
Comprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use when writing, reviewing, or debugging Golang code that interacts with PostgreSQL…
golang-dependency-injection
Comprehensive guide for dependency injection (DI) in Golang. Covers why DI matters (testability, loose coupling, separation of concerns, lifecycle management), manual constructor injection, and DI library comparison (google/wire, uber-go/dig, uber-go/fx, samber/do). Use this skill when designing service architecture…
golang-design-patterns
Idiomatic Golang design patterns — functional options, constructor APIs, init() and global-state avoidance, enums, panic vs error decisions, resource management and lifecycle, graceful shutdown, timeouts and retries, streaming and iterators, and architecture styles (clean, hexagonal, DDD, flat). Apply when choosing…