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 Mathews-Tom/armory --skill doc-condensergit clone --depth 1 https://github.com/Mathews-Tom/armoryWrote 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/mathews-tom/armory/doc-condenser)<a href="https://agentmods.dev/skills/mathews-tom/armory/doc-condenser"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/doc-condenser/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/mathews-tom/armory/doc-condenser"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/doc-condenser.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.01156 |
| Opus 5.5 | $0.00015 | $0.00462 |
| Sonnet 5.5 | $0.00007 | $0.00231 |
| Haiku 4.5 | $0.00004 | $0.00116 |
Grade A, and why
doc-condenser 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.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DEPRECATED — Modern Claude models condense and summarize technical documentation natively with comparable quality. The output format preferences encoded here (40% length cap, tables over prose, paths first) are too generic to justify skill overhead. Retained for archival reference only.
Document Condenser
Transform verbose technical documentation into concise, developer-focused specs.
Core Principles
- Paths first - Every file reference includes full/relative path
- Tables over prose - Use tables for metrics, coverage, file lists
- Code samples stay - Keep small, illustrative snippets; remove verbose examples
- Commentary, not explanation - Brief context sentences, not paragraphs
- One-line history - Reference legacy docs, don't preserve their content
Output Structure
# [path/to/output.md]
# [Title] - [Subtitle if needed]
## Purpose
[2-3 sentences: what this is, why it exists, key design principle]
## Status
[Table: metrics, rates, performance]
## Architecture Overview
[Optional diagram or brief flow description]
[Only if it aids understanding]
## Implementation Files
[Grouped by category with paths and one-line descriptions]
## [Domain-Specific Sections]
[Tables, code snippets, brief commentary as needed]
## Quick Reference
[Box or code block with key stats for scanning]
See assets/template.md for a copy-ready scaffold of this structure.
Transformation Rules
KEEP
- File paths (always full or project-relative)
- Metrics and measurements
- Code snippets under 15 lines that illustrate patterns
- Schema examples and data structures
- Coverage/status tables
CONDENSE
- Multi-paragraph explanations → 1-2 sentences
- Verbose examples → representative snippet + "see X for more"
- Implementation checklists → completion status table
- Long rationales → single "Design principle: X" line
- Code snippets longer than 20 lines → condense to the core pattern + a reference comment pointing to the source file
- Rationale sections where the same point is restated across more than 3 sentences → collapse to one "Design principle:" line
What ships with it
3 files 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.
- 2mo ago First seen · 153 lines · 37 tokens per session scan A 2e434abd282f
doc-condenser is a skill published in the GitHub repository Mathews-Tom/armory (337 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 1,156 once invoked, about $0.0001 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 2026-08-30.
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