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/tomzx/agents/create-plannpx skills add tomzx/agents --skill create-plangit clone --depth 1 https://github.com/tomzx/agentsWhat 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 | $0.00023 | $0.01944 |
| Opus 5 | $0.00012 | $0.00972 |
| Sonnet 5 | $0.00005 | $0.00389 |
| Haiku 4.5 | $0.00002 | $0.00194 |
Grade A, and why
create-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Plan
Produces a structured implementation plan from a specification or requirements document, organized into phases with milestones, dependencies, effort estimates, and a risk register.
Prerequisites
- Apply the shared SDLC conventions in
skills/sdlc/references/shared.md. - If no argument is provided, locate the feature directory under
.sdlc/features/whose frontmatterissuefield references$ISSUE_NUMBER. .sdlc/features/N-<slug>/specification.md(must have passed review with findings verdictapproved), or a specification/requirements document provided in context or as a file path ($1).sdlc/features/N-<slug>/lifecycle.md(optional, if a lifecycle document was produced): include state machine implementation, invariant enforcement, and retention policy work as deliverables in the plan.sdlc/features/N-<slug>/telemetry.md(optional, if a telemetry plan was produced): include analytics instrumentation as deliverables in the plan.sdlc/features/N-<slug>/observability.md(optional, if an observability plan was produced): include logging, metrics, tracing, and alerting as deliverables in the plan- Team size and velocity context (if available)
Steps
- Read the specification or requirements, and the lifecycle, telemetry, and observability plans if present.
- Determine the plan structure (see Plan Structure):
- Identify the distinct concerns the work spans from the spec (e.g., database/models, API, CLI, SDK, frontend).
- Ask the user whether to produce a unified plan (
plan.md) or a split plan set (plan/directory, one file per concern plus anindex.md). Use thequestiontool when available; otherwise ask conversationally and wait for the answer. - When the user picks split, confirm the concern list and one-word slugs (lowercase, hyphenated) that will name each
plan/<concern>.mdfile. - Under automation (
$OUTCOME_YAMLset, no interactive user), default to unified and note the choice in the plan. If the spec clearly names multiple independent components and a split is obviously warranted, you may still default to unified; the structure can be split later during review.
- Identify all units of work and group them into logical phases. For a split plan, group phases within each concern; for a unified plan, group them globally.
- Define phase goals (milestones) and their success criteria.
- Map dependencies between phases and external factors as a Mermaid
flowchart TD(Phase Dependencies), so parallel tracks and unintended serialization are visible at a glance. For a split plan, capture cross-concern dependencies inplan/index.mdthe same way. - Estimate effort for each phase (person-days or story points).
- Identify risks and mitigations.
- Record assumptions that the plan depends on but has not verified. Risks in the risk register often encode assumptions (e.g., "the third-party API will be available by Phase 2", "the team will have the required capacity", "the database migration will not require downtime"). For each assumption that carries meaningful risk, promote it via
/create-assumptionso it is tracked and can be validated before implementation. - Propose a timeline if team capacity is known: render it as a Mermaid
gantt(one section per phase, or per concern for a split plan) when calendar dates are estimable; otherwise keep a duration-only table. - Validate best-effort: render each
mermaidblock withmmdc(ornpx -y @mermaid-js/mermaid-cli) when available. A missing tool is skipped; a render failure is a defect to fix before handoff. - Write the output:
- Unified:
.sdlc/features/N-<slug>/plan.md. - Split:
.sdlc/features/N-<slug>/plan/index.mdplus one.sdlc/features/N-<slug>/plan/<concern>.mdper concern.
- Unified:
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 · 98 lines · 23 tokens per session scan A 4319a583714d
create-plan is a skill published in the GitHub repository tomzx/agents (5 stars, last pushed 5d ago), licensed MIT. It adds 23 tokens to every session and 1,944 once invoked, about $0.0001 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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