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 huuanh20/awesome-ai-agent-skills --skill ck-plangit clone --depth 1 https://github.com/huuanh20/awesome-ai-agent-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/huuanh20/awesome-ai-agent-skills/ck-plan)<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/ck-plan"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/ck-plan/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/huuanh20/awesome-ai-agent-skills/ck-plan"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/ck-plan.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 | $0.01030 |
| Opus 5 | $0.00000 | $0.00515 |
| Sonnet 5 | $0.00000 | $0.00206 |
| Haiku 4.5 | $0.00000 | $0.00103 |
Grade A, and why
ck:plan 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 12d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ck:plan — Structured Planning Pipeline
Step 0 — Scope Challenge
Before spawning any agents, detect mode and challenge scope:
# Scope Challenge:
# Exists? → [does this feature already exist in the codebase?]
# Minimum? → [smallest impl that satisfies requirements]
# Complexity? → [Fast | Hard] — reasons: multi-file? unfamiliar? security?
#
# Mode: [Fast | Hard]
# Test: [default | --tdd]
Mode auto-detection (override with explicit flag):
- Fast — single-file change, familiar pattern, ≤ 2 components
- Hard — multi-file, unfamiliar domain, security-sensitive, or ≥ 3 phases
If scope is too large: suggest splitting and wait for user confirmation.
If Hard and novel/ambiguous with no brainstorm report: "No brainstorm found. Run /ck:brainstorm first? [Y/n]" — if Yes, stop; if No, proceed.
If a spec file path is provided or plans/{slug}/spec.md exists adjacent to any plan: run a Spec Quality Check inline:
# Spec Quality Check:
# [NEEDS CLARIFICATION] remaining? → CRITICAL — resolve before continuing
# Success criteria measurable? → HIGH if vague adjectives (fast, scalable, reliable)
# User stories P1/P2/P3? → HIGH if missing
# Acceptance criteria testable? → MEDIUM if vague ("works correctly")
#
# Verdict: [PASS | WARN (list) | BLOCK (list)]
- BLOCK: surface findings, resolve before proceeding
- WARN: list findings, user acknowledges — then proceed
- PASS: continue normally
Step 1 — Research (Hard only)
Spawn 2 researcher agents in parallel:
- Instance A — role:
Primary— recommended approach and best practices - Instance B — role:
Alternative— alternative approach and tradeoffs
// Researcher A (Primary): [approach] → [verdict]
// Researcher B (Alternative): [approach] → [verdict]
Step 2 — Plan Creation
Spawn the planner agent with: feature description + mode + research reports + test flag + spec file path (if any).
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.
- 12d ago First seen · 118 lines · 0 tokens per session scan A 92324021524c
ck:plan is a skill published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,030 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.
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