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/skyloevil/codex-sdd/plannpx skills add skyloevil/codex-sdd --skill plangit clone --depth 1 https://github.com/skyloevil/codex-sddWhat 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 | $0.00031 | $0.00783 |
| Opus 5 | $0.00015 | $0.00392 |
| Sonnet 5 | $0.00006 | $0.00157 |
| Haiku 4.5 | $0.00003 | $0.00078 |
Grade A, and why
codex-sdd: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 yesterday.
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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenSpec Plan
Context
Plan is the second phase of the OpenSpec workflow. It transforms an approved proposal into two artifacts:
- design.md — Technical architecture, API contracts, data design, decisions
- tasks.md — Executable task breakdown This is the "constrain the implementation" step.
Trigger
Any of these patterns triggers this skill:
- User says "openspec plan" or "openspec:plan"
- User confirms the proposal scope
openspec_get_statusshows phase isplanor phase isproposewith confirmed scope
Prerequisites
- An active proposal at
openspec/changes/<changeId>/proposal.md - Scope has been confirmed by the user
Workflow
Step 1: Read the Proposal
Call openspec_read_artifact({ artifactId: "proposal" }) to understand the requirement scope and constraints.
Step 2: Build Context
Call docs_build_context using keywords from the proposal. Include likely spec
domains and modules when known. The design should cite relevant source paths from
openspec/specs, docs/generated, docs/reviewed, or docs/knowledge when they
affect interfaces, compatibility, risks, or task sequencing.
Step 3: Generate Design
Use openspec_create_or_update_artifact with detailed technical analysis:
openspec_create_or_update_artifact({
artifactId: "design",
content: "<technical design markdown>"
})
For best results, you should analyze the proposal and generate a thorough technical design covering:
- Overall architecture approach
- New/modified interfaces (API endpoints, function signatures)
- Data model changes
- Caching strategy
- Concurrency/locking considerations
- Compatibility with existing systems
- Risks and edge cases
Write the full design to openspec/changes/<changeId>/design.md.
Step 4: Generate Tasks
After design is created, generate tasks:
openspec_create_or_update_artifact({
artifactId: "tasks",
content: "<checkbox task markdown>"
})
This creates or updates openspec/changes/<changeId>/tasks.md with check-box tasks.
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.
- yesterday First seen · 95 lines · 31 tokens per session scan A 02dba43e027b
codex-sdd:plan is a skill published in the GitHub repository skyloevil/codex-sdd (1 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 783 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 2026-08-31.
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