What is brand-gen-truncation-audit?

A review tool that finds places where brand-gen shortens, compresses, summarizes, or removes parts of prompts. It records each limit, its source, and the affected prompt stage.

Use it to audit prompt-building code, locate character caps and hard slices, trace their configured limits, and produce a complete truncation manifest.

It makes hidden prompt shortening visible, helping developers find where important instructions may be lost.

brand-gen-truncation-audit — Skill by velinussage/brand-gen

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.

Any agent

npx skills add velinussage/brand-gen --skill brand-gen-truncation-audit

Clone the repo

git clone --depth 1 https://github.com/velinussage/brand-gen

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/velinussage/brand-gen/brand-gen-truncation-audit/github.svg)](https://agentmods.dev/skills/velinussage/brand-gen/brand-gen-truncation-audit)

Your own site

<a href="https://agentmods.dev/skills/velinussage/brand-gen/brand-gen-truncation-audit"><img src="https://agentmods.dev/badge/skills/velinussage/brand-gen/brand-gen-truncation-audit/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/velinussage/brand-gen/brand-gen-truncation-audit"><img src="https://agentmods.dev/badge/skills/velinussage/brand-gen/brand-gen-truncation-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 203 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,939 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00203	$0.01939
Opus 5.5	$0.00081	$0.00776
Sonnet 5.5	$0.00041	$0.00388
Haiku 4.5	$0.00020	$0.00194

Measured 2mo ago against content hash e493e96ad607, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

brand-gen-truncation-audit 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 2mo 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.

skills/brand-gen-truncation-audit/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

For Sage brand work in Pi, use the paste-ready prompt at docs/prompts/pi-sage-brand-gen-full-pipeline.md. Keep this link instead of copying the full prompt into skill bodies.

Brand-Gen Truncation Audit

Risk addressed: prompt assembly applies caps through 6+ layers in sequence (per-part cap_text_at_sentence → joined-prelude cap → compress_prompt_body → evict_to_budget over PromptBlocks → execution-prompt re-cap → ad-hoc [:N] slices). Most truncation is silent — only review_prompt_architecture reports dropped blocks. Hard-coded limits live as magic numbers across 14+ files. The priority-tier PromptBlock machinery (prompt_block.py) only sees content after earlier caps already fired.

What this skill produces

A single JSON-shaped manifest of cap sites. Each entry:

{
  "site_id": "prompt_assembly.py:387",
  "kind": "cap_text_at_sentence | compress_prompt_body | evict_to_budget | hard_slice | summarize | strip",
  "stage": "per_part | combined_prelude | body | execution | post_block_eviction",
  "input_field": "brand_anchor_rule | inspiration_directive | copy_bank | …",
  "limit_value": 480,
  "limit_source": "constant:NON_INTERFACE_BODY_CAP | json:data/prompt_budget.json#interface | literal:480 | literal:[:5]",
  "configurable": true,
  "tracked": true,
  "tracked_via": "dropped_blocks | recommendation_string | none",
  "fires_before_priority_system": false,
  "snippet": "cap_text_at_sentence(brand_anchor_rule, NON_INTERFACE_BODY_CAP)"
}

Plus a summary: total sites, silent vs tracked ratio, sites firing before evict_to_budget, hard-coded literal counts by file.

When to use

Before adjusting data/prompt_budget.json — to know which caps actually respect it.
Before promoting a new PromptBlock priority — to know which caps would defeat it.
When iteration_memory.json keeps losing entries that the agent expected to survive.
When the rendered prompt visibly drops a section the planner asked for but dropped_blocks is empty.
When introducing a new prompt section, to choose where its cap should live.

Read the full file on GitHub · 121 lines

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.

2mo ago First seen · 121 lines · 203 tokens per session scan A e493e96ad607

Subscribe to this mod's changes

brand-gen-truncation-audit is a skill published in the GitHub repository velinussage/brand-gen (0 stars, last pushed 5mo ago), licensed MIT. It adds 203 tokens to every session and 1,939 once invoked, about $0.0008 per session on Opus 5.5. 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.

Data and AI Prompting

brand-gen-truncation-audit next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
brand-gen-truncation-auditvelinussage/brand-gen	Skill	0	5mo ago	MIT	A	203	Claude Code, Codex
llm-app-patternsdavila7/claude-code-templates	Skill	33k	today	MIT	A	54	Claude Code, Codex
prompt-engineerJeffallan/claude-skills	Skill	12k	8d ago	MIT	A	93	Claude Code
prompt-optimizationlangwatch/langwatch	Skill	5.0k	today	Apache-2.0	A	105	Claude Code, Codex
prompt-library-for-startupsaws/agent-toolkit-for-aws	Skill	3.4k	today	Apache-2.0	A	228	Claude Code
hve-buildermicrosoft/hve-core	Skill	1.6k	today	MIT	A	54	Claude Code
flux-txt2imgartokun/comfyui-mcp	Skill	899	4d ago	MIT	A	44	Claude Code