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 genudo-ai/genudo_mcp --skill editing-playbookgit clone --depth 1 https://github.com/genudo-ai/genudo_mcpWrote 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/genudo-ai/genudo_mcp/editing-playbook)<a href="https://agentmods.dev/skills/genudo-ai/genudo_mcp/editing-playbook"><img src="https://agentmods.dev/badge/skills/genudo-ai/genudo_mcp/editing-playbook/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/genudo-ai/genudo_mcp/editing-playbook"><img src="https://agentmods.dev/badge/skills/genudo-ai/genudo_mcp/editing-playbook.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 | $0.00105 | $0.01994 |
| Opus 5 | $0.00053 | $0.00997 |
| Sonnet 5 | $0.00021 | $0.00399 |
| Haiku 4.5 | $0.00011 | $0.00199 |
Grade A, and why
editing-playbook 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Genudo Instruction Editing — Workflow
You are editing the LIVE instructions of a Genudo AI agent. There is no
get_instructions tool — you read current text from the normal read tools and
write it back with the normal update tools. Follow this exactly. Never push to a
live agent without explicit user confirmation.
The five editable fields
| Field | Read from | Write with |
|---|---|---|
pipeline persona (identity + voice) |
list_pipelines |
update_pipeline |
pipeline instructions (global behaviour) |
list_pipelines |
update_pipeline |
stage instructions (stage flow) |
list_pipeline_stages |
update_stage |
stage enter_condition (entry condition) |
list_pipeline_stages |
update_stage |
stage ai_persona (optional per-stage voice) |
list_pipeline_stages |
update_stage |
Where files go
Staging root is ${ROOT} — $GENUDO_WORKDIR when set, else the current directory.
Every path below is relative to it.
No local filesystem (Claude Desktop / plain web chat)? Skip every file, keep the before/after inline in the chat — you still owe the user a diff and a confirmation before push. Everything else in this workflow still applies.
0. Load the guides (once per session)
- If
${ROOT}/genudo-guides/with these guides does NOT exist, callget_instruction_guidesand write each returned guide to${ROOT}/genudo-guides/<slug>.md. If it already exists, reuse it. - ALWAYS read the guides before editing.
1. Load the current instructions
- Confirm which pipeline (and which stage[s]). Use
list_pipelinesto get thepipeline_id(it also returns the pipelinepersonaandinstructions). - Call
list_pipeline_stages(pipeline_id). For each stage it returnsid,name,nature,order,instructions,enter_condition, andai_persona.
2. Write the local mirror
The mirror is a browsable, offline copy of what the pipeline IS — someone opening the
folder in Finder or an editor should understand the agent without the platform open.
Write or refresh it from the data step 1 already returned, plus
list_actions(pipeline_id) and list_variables(pipeline_id):
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.
- 10d ago First seen · 156 lines · 105 tokens per session scan A 5c6bf306c5a1
editing-playbook is a skill published in the GitHub repository genudo-ai/genudo_mcp (0 stars, last pushed 11d ago), licensed MIT. It adds 105 tokens to every session and 1,994 once invoked, about $0.0005 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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