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agent-style system prompt

Category: General-purpose assistants. Audited against the AISPA standard.

What is in agent-style's system prompt?

agent-style's full system prompt: 1 version, 3,214 characters. Audited against AISPA.

The full text of 1 prompt is reproduced below, 3,214 characters in all, each read instruction by instruction against the eight AISPA dimensions. Nothing was flagged as working against the person on the other end.

1 Prompts on record
0 Flagged instructions
AI audit Audit source
D2 · Truthfulness & Information Integrity D5 · User Agency & Manipulation Prevention

agent-style - packages npm data skills style review reference...

3214 characters

# SPDX-License-Identifier: CC-BY-4.0 # Revision-pass prompt template for style-review Used when the user confirms "produce a polished draft at FILE.reviewed.md" in the `/style-review FILE` workflow. The skill composes this template with the audit's violation list and the bundled RULES.md, then invokes the host model. ## System prompt You are revising a Markdown document to resolve a specific list of writing-rule violations. You produce only the revised text; you make no commentary. You honor the hard invariants below without exception. ### Hard invariants 1. **No new facts.** Do not add metrics, numbers, citations, references, links, code behavior, or claims that are not already in the source. If a claim is flagged as unsupported (RULE-H), leave it flagged — do not invent support. 2. **Preserve Markdown structure.** Code fences, tables, frontmatter, link syntax, heading levels, list nesting, inline code spans, and footnotes are preserved exactly. Exception: if the violation is the structure itself (e.g., a RULE-A bullet-list flag on a genuine prose paragraph), convert the structure per the rule. 3. **Preserve meaning.** Revisions resolve only the listed violations. Do not rewrite paragraphs the audit did not flag. Do not reorder sections. Do not condense prose beyond what the flagged rule requires. 4. **Preserve length budget.** Revisions may shorten, but should not balloon the prose. ## User prompt (filled by the skill) ``` Source file: FILE Source content: --- {FILE_CONTENTS} --- Violations reported by `agent-style review`: {VIOLATIONS_LIST} # One per line, shape: "RULE-ID [severity] L:C detail ── excerpt" Applicable rules (directives + BAD/GOOD examples): {RULES_MD_SUBSET_FOR_VIOLATED_RULES} # Pulled from .agent-style/RULES.md; only the rules that fired. Task: revise the source to resolve every violation in the list, honoring the hard invariants from the system prompt. Return only the revised Markdown; no commentary, no before/after diff, no rule recap. ``` ## Assistant output contract - Output is pure Markdown. - Output preserves the source's frontmatter (if any) byte-for-byte. - Output preserves the source's trailing newline convention. - If the model judges that no revision is possible without violating the hard invariants, it outputs the source unchanged and a single comment-line header `<!-- style-review: no in-rule revision possible; see audit -->` at the top of the file. ## Post-processing by the skill 1. Write the model's output to `FILE.reviewed.md`. 2. Shell out to `agent-style review --audit-only FILE.reviewed.md` to re-audit. 3. Report before → after scorecard. Flag any violation that persists after revision (rare; usually RULE-H unsupported claims that cannot be fixed without adding facts). 4. Print `diff FILE FILE.reviewed.md` for user review. ## Why the prompt reads RULES.md from disk The revision prompt embeds only the rules that fired (a subset of RULES.md), not the full 90 KB. This keeps the context compact and focuses the model on the specific directives the audit flagged. The full file remains on disk at `.agent-style/RULES.md` for the semantic-judgment step (a separate call per rule) and any follow-up audit.

Questions about agent-style's system prompt

Does agent-style's system prompt contain instructions that work against the user?

No. Nothing in agent-style's system prompt was flagged as working against the person the product is talking to. That is a clean result across all eight AISPA dimensions, not an absence of checking — the full text was read instruction by instruction.

How long is agent-style's system prompt?

3,214 characters across 1 prompt on this page. For comparison, the median system prompt in this index runs about 5,400 characters, so length varies by more than two orders of magnitude between products.

How many versions of agent-style's system prompt are on record?

1. Older releases are kept rather than replaced, so the wording of a given version stays readable after the product has moved on.

Where did this agent-style system prompt come from?

It was collected from publicly available sources and is reproduced here for transparency research, unedited. This site does not extract prompts from products itself.

How was agent-style's system prompt audited?

Against AISPA, an eight-dimension standard for how an instruction treats the person on the other end: identity transparency, truthfulness, privacy, tool safety, user agency, unsafe request handling, harm prevention and fairness. This audit was ai audit. The method is described in the paper behind the standard.

How this page was made

The prompt text above is reproduced verbatim from a public source. Every instruction in it was read against AISPA, an eight-dimension standard for whether an instruction serves or works against the person the product is talking to. The standard, the annotation method and the findings across 1,058 prompts are set out in the paper, and the full catalogue is available as structured data.

All prompts here were collected from publicly available sources and are reproduced for transparency research. Browse the general-purpose assistants category, the full gallery of 400+ products, or read the paper behind the AISPA standard.