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 DavidVujic/my-eca-config --skill planning-stylegit clone --depth 1 https://github.com/DavidVujic/my-eca-configWrote 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/davidvujic/my-eca-config/planning-style)<a href="https://agentmods.dev/skills/davidvujic/my-eca-config/planning-style"><img src="https://agentmods.dev/badge/skills/davidvujic/my-eca-config/planning-style/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/davidvujic/my-eca-config/planning-style"><img src="https://agentmods.dev/badge/skills/davidvujic/my-eca-config/planning-style.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 | $0.00032 | $0.00304 |
| Opus 5 | $0.00016 | $0.00152 |
| Sonnet 5 | $0.00006 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
planning-style 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 11d 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.
What it actually says
Plan Skill
Produce an implementation plan with a functional-leaning, idiomatic style mindset; prefers lightweight data structures over dataclasses/pydantic unless justified.
STYLE MINDSET (REQUIRED):
Load the fp-idiomatic-style and coding-style skills via eca__skill before writing the plan.
Apply it as a design constraint (architecture and data flow), not as code-generation.
PLANNING OUTPUT: The plan should include:
- Goal and non-goals
- Proposed functions/modules to add or change (names + responsibilities)
- Data flow: inputs → transformations → outputs (prefer pure-ish functions and minimal shared mutation)
- Data representations according to the required style mindset
- Edge cases and validation strategy (only if needed)
- Testing approach (what to test, not full test code)
RULES:
- The Plan itself should be written in a very concise way.
- The Plan should keep things simple and be easy to read.
- Prefer small composable functions over large stateful classes.
- Prefer explicit return values over hidden side effects.
- Do not propose new dataclasses/pydantic schemas unless there is a concrete need (validation, invariants, long-lived domain objects).
- Keep it idiomatic for the language in this repo (Pythonic if Python, etc.).
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.
- 11d ago First seen · 30 lines · 32 tokens per session scan A 2061afc589e8
planning-style is a skill published in the GitHub repository DavidVujic/my-eca-config (11 stars, last pushed 13d ago), licensed MIT. It adds 32 tokens to every session and 304 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 2026-08-30.
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