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 wiolett-industries/marketplace --skill writing-plansgit clone --depth 1 https://github.com/wiolett-industries/marketplaceWrote 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/wiolett-industries/marketplace/writing-plans)<a href="https://agentmods.dev/skills/wiolett-industries/marketplace/writing-plans"><img src="https://agentmods.dev/badge/skills/wiolett-industries/marketplace/writing-plans/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/wiolett-industries/marketplace/writing-plans"><img src="https://agentmods.dev/badge/skills/wiolett-industries/marketplace/writing-plans.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 | $0.00051 | $0.01017 |
| Opus 5.5 | $0.00020 | $0.00407 |
| Sonnet 5.5 | $0.00010 | $0.00203 |
| Haiku 4.5 | $0.00005 | $0.00102 |
Grade A, and why
writing-plans 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 2mo 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Plans
Create a durable plan only when it materially improves execution or recovery. Plans are source-of-truth artifacts, not mandatory ceremony.
Plan Threshold
Use this module when at least one is true:
- the user explicitly requests a durable implementation plan;
- execution has several dependent steps or independent subsystems;
- risk, migration, coordination, or compaction recovery requires locked decisions;
- another agent must execute without product or architecture guesswork.
Fast localized work and chat-only planning skip .workflow/. An explicit no-edits/read-only boundary blocks plan artifacts unless the user separately authorizes a durable plan.
Planning Does Not Expand Context
A plan is not permission to map or preemptively harden. Every task must trace to stated behavior, observed failure, or normal-path risk. Cut only work outside acceptance, normal flow, integrity/security, and compatibility; minimal means behavior-complete, not partial. Reuse the working set; don't rediscover after create, reflection, or compaction.
Create Or Resume
Use workflow_plan_create, workflow_plan_update, workflow_plan_artifact_write, and workflow_handoff_write when available. Manual .workflow/ writes are fallback only. Resume an unfinished matching run; do not reopen completed work by default.
Read references/plan-schema.md when creating a run, defining chunks/tasks, or writing a plan handoff. Do not load it for a chat-only plan.
Plan Contract
The plan must lock decisions that execution cannot safely infer:
- exact goal, success criteria, scope, and non-goals;
- expected change class (
L0-L3), expected surfaces, must-preserve constraints, and the smallest behavior-complete approach; - repository facts at the known surfaces, constraints, and accepted decisions;
- implementation approach and dependency order;
- tasks with allowed scope, ownership, and expected files/artifacts;
- verification commands and acceptance checks;
- UI contract reference and its reuse decision when substantial production UI is in scope;
- assurance profile, one task-wide agent budget, and finalization requirements.
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.
- 2mo ago First seen · 68 lines · 51 tokens per session scan A 1e202faa7ac4
writing-plans is a skill published in the GitHub repository wiolett-industries/marketplace (10 stars, last pushed 15d ago), licensed MIT. It adds 51 tokens to every session and 1,017 once invoked, about $0.0002 per session on Opus 5.5. 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.
writing-plans compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| writing-planswiolett-industries/marketplace | Skill | 10 | 15d ago | MIT | A | 51 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |