Borrowing it
Nothing to install: this file belongs to singula-ai/alego. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/singula-ai/alego/main/.agents/skills/alego-prose-standard/SKILL.mdgit clone --depth 1 https://github.com/singula-ai/alegoWrote 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/singula-ai/alego/alego-prose-standard)<a href="https://agentmods.dev/skills/singula-ai/alego/alego-prose-standard"><img src="https://agentmods.dev/badge/skills/singula-ai/alego/alego-prose-standard/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/singula-ai/alego/alego-prose-standard"><img src="https://agentmods.dev/badge/skills/singula-ai/alego/alego-prose-standard.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 | $0.00057 | $0.01864 |
| Opus 5 | $0.00028 | $0.00932 |
| Sonnet 5 | $0.00011 | $0.00373 |
| Haiku 4.5 | $0.00006 | $0.00186 |
Grade A, and why
alego-prose-standard 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 4d 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.
This is a copy
88% identical to dsh-prose-standard — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alego Prose Standard
Write enough to preserve the contract, then remove reasoning transcripts, repetition, and decoration. A contract is an obligation, invariant, precondition, postcondition, or compatibility promise that a caller, callee, implementer, producer, or consumer relies on. This skill owns editorial judgment and required prose coverage; use alego-doc for placement, budgets, bilingual pairs, and documentation gates, and alego-trim-cot-leakage for hunting and fixing reasoning-transcript leakage. It is guidance, not a script.
Treat contract, boundary, shape, surface, seam, gate, and vocabulary as terms to check before use, not banned words. First ask whether the exact rule, API, field set, type, validation, timing point, component split, or failure states the fact better. Keep a term when it names the exact technical subject, including caller/callee contracts and security/process boundaries.
Comments describe non-obvious contracts or rationale that code cannot express; they do not restate what code already implies.
Inputs and exclusions
Require an explicit scope. If it is missing, report the required input and stop; do not infer a repository-wide scope or begin an interview.
Accept mode: automatic | interactive; default to automatic. Enter interactive mode only when the user explicitly requests questions or calibration.
mode controls questions, not write authority. Review and audit tasks report findings without editing; explicitly requested write, fix, or trim tasks apply clear changes.
Always exclude vendor/ from discovery, review, and edits, even when the requested scope is the whole repository. Do not follow a symlink into it. Put exclusions after inclusion globs so a later include cannot re-admit it: for example, end ripgrep commands with --glob '!vendor/**', and give Git commands an explicit :(exclude)vendor/** pathspec. If the requested scope contains only vendor/, report that no eligible files remain.
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.
- 4d ago Changed e91d9188de49
- 10d ago First seen · 82 lines · 57 tokens per session scan A 2ef648196114
alego-prose-standard is a skill published in the GitHub repository singula-ai/alego (109 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 1,864 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to dsh-prose-standard, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
ctx
Codebase intelligence and evidence-driven governance with the indexed ctx CLI. Use when exploring an unfamiliar repository, locating symbols or callers, checking for existing implementations, estimating change impact, enforcing architecture rules, scoring a branch, finding hotspots or duplication, or analyzing…
ctx
Codebase intelligence and evidence-driven governance with the indexed ctx CLI. Use when exploring an unfamiliar repository, locating symbols or callers, checking for existing implementations, estimating change impact, enforcing architecture rules, scoring a branch, finding hotspots or duplication, or analyzing…
todos
This chat has a shared, live TODO plan — your tasks for the conversation, which the user also edits. Read this skill and reach for the todo tools whenever a request takes more than a couple of steps. It covers the plan model (group = task, items = its steps; loose items are the user's lane), how to work it: propose…
writing-workflow-skills
Use when adding a new workflow skill to pi-thinkrail-workflow, changing an existing workflow skill's role, trigger, handoff, or structure, or checking a workflow skill against the workflow system's rules. Not for authoring general-purpose skills outside this package.
ai-ml-development
AI and machine learning development with PyTorch, TensorFlow, and LLM integration. Use when building ML models, training pipelines, fine-tuning LLMs, or implementing AI features.
case-interview-practice
Interactive consulting case interview practice with structured frameworks, feedback mechanisms, and progressive difficulty. Use when preparing for management consulting interviews, case competitions, or business problem-solving exercises.