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 agentmods add skills/romiluz13/cc10x/planningnpx skills add romiluz13/cc10x --skill planninggit clone --depth 1 https://github.com/romiluz13/cc10xWhat 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 | $0.00046 | $0.01873 |
| Opus 5 | $0.00023 | $0.00937 |
| Sonnet 5 | $0.00009 | $0.00375 |
| Haiku 4.5 | $0.00005 | $0.00187 |
Grade A, and why
planning 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.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning
Distill plans into durable, buildable artifacts. A plan is a contract, not a brainstorm.
Reference Files
references/live-verification-strategy.md— when and how to plan live/production verification; load when the request calls for production-like confidence (real integrations, deployment, live data) or any task's validation level is Live
Bite-Sized Task Granularity
Each task must fit a single fresh context window: one builder can read the referenced files, implement, and test it without compaction. A task that outlives its window gets finished by a degraded agent — split it. Signs a task is too big: "and then...", multiple unrelated files, multiple test scenarios, more than 3 sub-steps.
Test per task: Every task must have at least one test that verifies its completion. If you can't name the test, the task isn't specific enough.
Plan Document Header
# [Feature Name] Plan
## Metadata
- Created: [date]
- Status: [draft|approved|in-progress|complete]
- Verification Rigor: [standard|critical_path]
- Plan Mode: [direct|execution_plan|decision_rfc]
## Agreement Snapshot
- **Goal:** [one sentence]
- **Constraints:** [list]
- **In Scope:** [list]
- **Out of Scope:** [list]
- **Open Decisions:** [list or "none"]
Task Structure
Each task in the plan:
### Task N: [Component Name]
**Objective:** [what this task achieves]
**Files/Surfaces:** [exact files to create/modify]
**Dependencies:** [previous task IDs or "none"]
**Allowed Scope:** [what's in bounds]
**Out-of-Scope Drift:** [what would be scope creep]
**Expected Artifacts:** [what this produces]
**Required Checks:** [tests/verification needed]
**Checkpoint Type:** [none|human_verify|decision|human_action]
**Exit Criteria:** [how to know this task is done]
**Consumes:** [exact signatures used from earlier phases — verbatim]
**Produces:** [exact names later phases rely on — verbatim]
If no Consumes/Produces: write Consumes: none / Produces: none explicitly.
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.
- 2d ago First seen · 164 lines · 46 tokens per session scan A 934f2da4d0ed
planning is a skill published in the GitHub repository romiluz13/cc10x (164 stars, last pushed 29d ago), licensed MIT. It adds 46 tokens to every session and 1,873 once invoked, about $0.0002 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
create-request
Create, update, or scan per-task request tickets for progress tracking. These are date-prefixed non-lifecycle docs under requests/, NOT feature-level requirements (use /req-analyze for those). Use when: tracking task progress, updating completion status, scanning incomplete requests, checking request status dashboard.…
codex-setup
Initialize sd0x-dev-flow infrastructure for Codex CLI and other non-Claude agents. Generates AGENTS.md, installs the commit-msg hook, copies runner scripts. The pre-push gate is opt-in via --with-push-gate. Use when setting up a new project or after updating skills.
codex-code-review
Code review using Codex MCP. Use when: PR review, code audit, second opinion on changes. Not for: doc review (use doc-review), security audit (use security-review). Output: severity-grouped findings + merge gate.
meta-harness-terminal-bench-2
Run one iteration of AgentHarness evolution for Terminal-Bench 2.
meta-harness
Run one iteration of memory system evolution. Called by metaharness.py or interactively via /meta-harness.
adr
Write an Architecture Decision Record (ADR) for a feature — Context / Decision / Status / Consequences / Alternatives, filed as docs/features/ /adr- - .md with a 3-digit zero-padded number. Handles the Superseded case: bidirectional linking when a new ADR replaces an old one. Use when: recording why an architectural…