Borrowing it
Nothing to install: this file belongs to Rodrigonavarro23/cliplin. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Rodrigonavarro23/cliplin/main/.claude/skills/acd-spec-cycle/SKILL.mdgit clone --depth 1 https://github.com/Rodrigonavarro23/cliplinWrote 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/rodrigonavarro23/cliplin/acd-spec-cycle)<a href="https://agentmods.dev/skills/rodrigonavarro23/cliplin/acd-spec-cycle"><img src="https://agentmods.dev/badge/skills/rodrigonavarro23/cliplin/acd-spec-cycle/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/rodrigonavarro23/cliplin/acd-spec-cycle"><img src="https://agentmods.dev/badge/skills/rodrigonavarro23/cliplin/acd-spec-cycle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.03827 |
| Opus 5 | $0.00000 | $0.01913 |
| Sonnet 5 | $0.00000 | $0.00765 |
| Haiku 4.5 | $0.00000 | $0.00383 |
Grade A, and why
acd-spec-cycle 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 11d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 11d ago First seen · 362 lines · 0 tokens per session scan A 29fb4c5433eb
acd-spec-cycle is a skill published in the GitHub repository Rodrigonavarro23/cliplin (2 stars, last pushed 3mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 3,827 tokens. 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 2026-08-31.
Other skills, from other repositories
featurevisor
Author, query, and integrate Featurevisor — Git-based feature flags, A/B experiments, and remote config. Use whenever the user mentions Featurevisor, works in a project containing featurevisor.config.js, edits files under attributes/, segments/, features/, variables/, groups/, schemas/, targets/, sets/, or tests/…
cadence-first
Meta-orchestrator: assigns skill-chain cadence per block (Tier 1/2/3) via Q1-Q6 rules. Reads target taskblocks + task.md, writes cadence-decisions-{R}.md artifact. Standalone (executor invokes) or Batch (generator hand-off). Use when: deciding cadence for a batch of blocks, generator hand-off from decomposition skills.
ship-first
Final task completion protocol: report → user-note → deploy → smoke test → close? → guide? → routing.db → propagate → STATUS → sessions. Invoked from fast-track and pipeline flows after task execution, not directly by the user. Use when: invoked after the execute step of a fast-track or pipeline task.
ui-ai-first
Final audit of a large task before closure — finds which operations are available only via code / curl / SQL and decides per each: automate with a skill or AI agent (A) or create a UI task (B). Protects against invisible usability debt. Walks through each implemented block: reads task.md + reports + guides + code →…
qa
QA Engineer for software quality. Use for bug reproduction, regression analysis, edge-case design, test strategy, writing or reviewing tests, verification plans, acceptance checks, and deciding whether implementation work actually satisfies the request.
library-first
Mandatory protocol before executing any fast-track task. Analyzes the task, builds a table: what we do / where it comes from / how many lines of code. Principle: maximum reuse of existing libraries and components, minimum new code. Waits for explicit user approval — does nothing until confirmed. Use when: fast-track…