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 jhlee0409/all-for-claudecode --skill plangit clone --depth 1 https://github.com/jhlee0409/all-for-claudecodeWrote 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/jhlee0409/all-for-claudecode/plan)<a href="https://agentmods.dev/skills/jhlee0409/all-for-claudecode/plan"><img src="https://agentmods.dev/badge/skills/jhlee0409/all-for-claudecode/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/jhlee0409/all-for-claudecode/plan"><img src="https://agentmods.dev/badge/skills/jhlee0409/all-for-claudecode/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 | $0.00018 | $0.02441 |
| Opus 5 | $0.00009 | $0.01221 |
| Sonnet 5 | $0.00004 | $0.00488 |
| Haiku 4.5 | $0.00002 | $0.00244 |
Grade B, and why
afc:plan scanned grade B with 1 finding 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
!`cat .claude/afc.config.md 2>/dev/null || echo "[CONFIG NOT FOUND] .claude/afc.config.md not found. Create it with /afc:init."` How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/afc:plan — Implementation Design
Generates an implementation plan (plan.md) based on the feature specification (spec.md). Ensures quality with convergence-based Critic Loop and runs research in parallel when needed.
Arguments
$ARGUMENTS— (optional) Additional context or constraints
Project Config (auto-loaded)
!cat .claude/afc.config.md 2>/dev/null || echo "[CONFIG NOT FOUND] .claude/afc.config.md not found. Create it with /afc:init."
Config Load
Always read .claude/afc.config.md first (read manually if not auto-loaded above) — needed for CI Commands (YAML).
Architecture, Code Style, and Project Context are auto-loaded via .claude/rules/afc-project.md.
If config file is missing:
- Ask the user: "
.claude/afc.config.mdnot found. Run/afc:initto set up the project?" - If user accepts → run
/afc:init, then restart this command with the original$ARGUMENTS - If user declines → abort
Execution Steps
1. Load Context
- Check current branch →
BRANCH_NAME - Find .claude/afc/specs/{feature}/spec.md:
- Search under
.claude/afc/specs/for a directory matching the current branch name or$ARGUMENTS - If not found: print "spec.md not found. Running
/afc:specto create it first." then execute/afc:specwith$ARGUMENTS. After spec completes, restart this command from the beginning with the original$ARGUMENTS
- Search under
- Read full spec.md
- Read .claude/afc/memory/principles.md (if present)
- Read CLAUDE.md project context
- Memory loading (skip gracefully if directories are empty or absent):
- Quality history: if
.claude/afc/memory/quality-history/*.jsonexists, load the most recent 10 files (sorted by filename descending) and display trend: "Last {N} pipelines: avg critic_fixes {X}, avg ci_failures {Y}". Use trends to inform risk assessment. - Decisions: if
.claude/afc/memory/decisions/exists, load the most recent 30 files (sorted by filename descending) and check for conflicts with the current feature's design direction. - Reviews: if
.claude/afc/memory/reviews/exists, load the most recent 15 files (sorted by filename descending) and scan for recurring finding patterns (same file/category appearing in 2+ reviews). Flag as known risk areas.
- Quality history: if
What ships with it
1 file 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.
- 9d ago First seen · 180 lines · 18 tokens per session scan B 75834b179904
afc:plan is a skill published in the GitHub repository jhlee0409/all-for-claudecode (7 stars, last pushed 5mo ago), licensed MIT. It adds 18 tokens to every session and 2,441 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
eval-agents
Audit Claude Code agents defined in .claude/agents/ for description specificity, model tier appropriateness, tools scoping, and system prompt quality. Detects dispatch ambiguity between agents, flags over-permissive tool grants, and checks for human-in-the-loop patterns that break programmatic orchestration. Use when…
land-and-deploy
Merge PR, wait for CI, verify deploy, run canary. The complete landing pipeline.
self-assessment
Interactive skill assessment with personalized learning path generation.
orchestrator-lanes
A file-based project-management playbook for a specific Claude Code development orchestrator. It organizes work into lanes, plans, dependency steps, validation phases, and shipping stages.
git-ai-archaeology
Analyze AI config evolution in a git repo. Use when mapping AI adoption history, finding when configs were first introduced, charting commit velocity by month, or identifying maturity phases in a project's AI tooling.
investigate
Systematic root-cause debugging: find the cause before writing any fix.