ghostwriter AGENTS.md

Repository instructions for ghostwriter, a set of three locally installed writing skills that keeps personal writing data on the user's machine. They define how profiles, example cases, references, scripts, and tests should be handled.

In plain words
What is it for?
Use them when changing ghostwriter skills, profile-replacement workflows, TypeScript scripts, fictional test fixtures, or validation steps.
Why use it?
They protect private writing data and keep the skills deterministic, dependency-free, and safe to modify.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/mblode/ghostwriter/agents-md
Clone the repo
git clone --depth 1 https://github.com/mblode/ghostwriter

Made for: Codex, OpenCode.

Per session 333 This file is loaded in full into every session.
When invoked 333 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00333 $0.00333
Opus 5 $0.00167 $0.00167
Sonnet 5 $0.00067 $0.00067
Haiku 4.5 $0.00033 $0.00033

Measured 2d ago against content hash 02b4ea8b5922, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ghostwriter AGENTS.md 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.

AGENTS.md · 32 lines

What it actually says

Repository instructions

Three independently installable Agent Skills. Keep the repository local-first, dependency-free at runtime, and safe for personal writing data.

Before editing

  • Read the nearest SKILL.md and every reference needed for the change.
  • Keep each skill self-contained. A skill must not reference files outside its own directory at runtime.
  • Use fictional fixtures only. Never copy a personal profile, export, held-out response, credential, or eval run into Git.
  • Preserve the boundary between cases.jsonl and references.jsonl.

Implementation

  • Scripts are TypeScript run directly by Node's type stripping, so keep every file to erasable syntax (no enums, namespaces, or parameter properties).
  • Use Node.js standard-library modules. Do not add a runtime dependency for work the standard library handles clearly.
  • Spawn local agents with argument arrays and stdin, never through an interpolated shell command.
  • Keep deterministic data work in scripts and language judgment in the invoking agent.
  • Use plan, validate, execute for profile replacement and other multi-file writes.
  • Keep tone rules in private profiles. Runtime instructions must not hard-code one person's stylistic habits.
  • Persistent user data belongs under GHOSTWRITER_HOME, never inside an installed skill.

Verification

Before declaring a change complete:

npm test
uvx --from skills-ref agentskills validate skills/ghostwriter
uvx --from skills-ref agentskills validate skills/train-ghostwriter
uvx --from skills-ref agentskills validate skills/evaluate-ghostwriter

Model-backed smoke tests are opt-in. CI and ordinary unit tests must use fictional fixtures and stub executables.

Changes

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.

  1. 2d ago First seen · 32 lines · 333 tokens per session scan A 02b4ea8b5922

Subscribe to this mod's changes

ghostwriter AGENTS.md is an instructions file published in the GitHub repository mblode/ghostwriter (7 stars, last pushed 26d ago), licensed MIT. It adds 333 tokens to every session, about $0.0017 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 2026-08-31.

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