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/aimeerrhythm/enterprise-change-workflow/skill-filesgit clone --depth 1 https://github.com/Aimeerrhythm/enterprise-change-workflowWhat 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 | $0.00000 | $0.00321 |
| Opus 5 | $0.00000 | $0.00161 |
| Sonnet 5 | $0.00000 | $0.00064 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
skill-files 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.
What it actually says
SKILL.md Conventions
Size Budget
SKILL.md MUST stay under 400 lines. If exceeding, extract content into supplementary files.
REFERENCE/TEMPLATE Extraction
SKILL.md only contains execution logic. Extract the following into same-directory supplementary files:
- Output templates →
*-template.md - Lookup tables / DOT diagrams →
*-reference.md/*-diagram.md - Large inline prompts → dedicated files
Supplementary files are loaded on-demand via Read references, not embedded in SKILL.md.
Mode-Switch + Announce-at-Start (ALL skills)
Every SKILL.md MUST declare near the top (after Overview):
- Announce at start: One sentence telling the user which skill is active (transparency)
- Format:
**Announce at start:** "Using ecw:<skill-name> to <purpose>."
- Format:
- Mode switch: Update
session-state.jsonmode/state fields (state tracking)- Format:
**Mode switch**: Update \session-state.json` to reflect mode ``.`
- Format:
Rationalization Defense Tables (Critical skills)
For skills where LLM may self-rationalize skipping steps, include a table of:
| Rationalization Pattern | Why It's Wrong | Correct Behavior |
|---|
Apply to: risk-classifier, impl-verify, tdd, spec-challenge, writing-plans.
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 · 39 lines · 0 tokens per session scan A 6cd0ad2ee27e
skill-files is a cursor rule published in the GitHub repository Aimeerrhythm/enterprise-change-workflow (1 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 321 tokens. 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.
Other cursor rules, from other repositories
decision-review
Decision review — audit thinking quality, not just code quality.
050-plan
When the user types /plan or asks to create a project plan, feature PRD, or retrospective.
dreamd-recall
Recall lessons, decisions, and prior context from the .agent/ memory daemon. Use when starting work in a project that has a .agent/ folder, when the user references a past decision, or when you are about to make a choice that has a documented prior.
session-memory
Use at conversation wrap-up or when the user explicitly indicates end-of-session — capture residual lessons not captured in-flight.
context-recorder-system
Context Recorder System (记录员系统) - 模块化索引文件.
tdd
Test-driven development — red-green-refactor cycle.