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 rules/sordi-ai/skill-everything/implementation-plangit clone --depth 1 https://github.com/sordi-ai/skill-everythingWhat 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 | $0.00021 | $0.00472 |
| Opus 5 | $0.00010 | $0.00236 |
| Sonnet 5 | $0.00004 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
implementation-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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sub-Skill: Implementation Plan
Purpose: Ensure every non-trivial change is planned before execution, reducing rework, missed files, and undetected regressions.
Rules
Scope & Files
- List affected files first. Always list all files that will be modified before beginning implementation. Reference: ERR-2026-029
- Define scope boundaries. Before writing code, explicitly state what is in scope and what is out of scope to prevent scope creep.
- Map dependencies. Always identify which modules, services, or packages depend on the code being changed before touching it.
Ordering & Safety
- Order migrations before rollouts. Always sequence database migrations before application deployments in the plan; never assume they run together.
- Write the rollback story. Before starting, define the rollback procedure: which commands revert the change and restore the previous state.
- Identify stop-the-line criteria. Always define explicit conditions that would cause you to halt implementation and reassess (e.g., test failure rate, latency spike).
Testing & Quality
- Include a test plan. Always specify which tests will be added or modified and what scenarios they cover before writing implementation code.
- Assess risk per change. For each file in the touch list, note the risk level (low/medium/high) based on blast radius and test coverage.
Communication & Completion
- Estimate time per step. Always provide a rough time estimate for each implementation step so stakeholders can track progress.
- Define done explicitly. Always write a definition of done (DoD) that includes passing tests, updated docs, and any required approvals before starting.
- Communicate blockers immediately. After discovering a blocker during implementation, surface it immediately rather than working around it silently.
- Verify the plan against the codebase. Before executing, confirm each file in the touch list exists and the planned change is compatible with its current state.
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 · 44 lines · 21 tokens per session scan A 36741a438dcc
implementation-plan is a cursor rule published in the GitHub repository sordi-ai/skill-everything (19 stars, last pushed 3mo ago), licensed MIT. It adds 21 tokens to every session and 472 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 2026-08-30.
Other cursor rules, from other repositories
00-stack
Stack, runtimes, and MCP servers for this repository.
20-testing
How to run tests and MCP smoke checks.
30-security
Secrets, gitleaks, age encryption, telemetry redaction.
obsidian-memory
Markdown vault memory protocol (vkm-kit).
10-style
Style conventions and contribution hygiene.
retention-predictor
Skill — retention-predictor. Predicts retention potential via usage frequency, habit formation mechanics, and churn risk factors.