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 gpsaggese/helpers --skill text.criticizegit clone --depth 1 https://github.com/gpsaggese/helpersWrote 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/gpsaggese/helpers/text.criticize)<a href="https://agentmods.dev/skills/gpsaggese/helpers/text.criticize"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/text.criticize/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/gpsaggese/helpers/text.criticize"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/text.criticize.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 | $0.00009 | $0.00718 |
| Opus 5.5 | $0.00004 | $0.00287 |
| Sonnet 5.5 | $0.00002 | $0.00144 |
| Haiku 4.5 | $0.00001 | $0.00072 |
Grade A, and why
text.criticize 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 yesterday.
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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal
- Review and criticize the text (markdown, blog posts, documentation)
- Identify mistakes and improvement opportunities, focusing on factual errors, rather than style suggestions
- Propose concrete improvements to content, flow, visual clarity, pacing, and audience fit
Workflow
Read the Material
- Read the text passed by the user carefully
Identify and Rank Mistakes
Definition
-
Criteria for mistakes:
- Factual inaccuracy (wrong information, outdated claims)
- Logical contradiction or inconsistency
- Technical error (code doesn't work, command is wrong, API is misrepresented)
- Broken reference (link is dead, file path is wrong, name is misspelled)
- Only report issues you are absolutely certain about
-
Ranking severity:
- High: Misleads reader or causes confusion
- Medium: Could improve clarity or accuracy
- Low: Minor inconsistency or incomplete statement
TODOs
- Ignore the TODOs that already exist in the text
Suggest Improvements
- Identify opportunities to improve clarity, structure, or completeness without changing facts
Definition
-
Types of improvements:
- Clarity: Making text easier to understand
- Completeness: Adding missing context or examples
- Consistency: Aligning terminology or formatting
- Readability: Breaking up dense sections or improving flow
-
Ranking severity:
- High: Significantly improves comprehension or prevents misunderstanding
- Medium: Moderately improves clarity or adds useful detail
- Low: Minor improvement in readability or polish
Write the Results
-
The output format is a vim cfile following
.claude/skills/cfile.rules.md<full path file>:<LINE_NUMBER>:1 [HIGH/MEDIUM/LOW] Short description of error <full path file>:<LINE_NUMBER>:1 [HIGH/MEDIUM/LOW] Why this is wrong and what the correct statement should be ... -
Example
msml610/lectures_source/README.md:12 [HIGH] Claims "pip install X" but pip package is named "X-lib" msml610/lectures_source/README.md:5 [HIGH] Add example of basic usage after the description helpers/docs.md:8 [MEDIUM] Link to API docs is outdated (2023 version, current is 2024)
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.
- yesterday First seen · 83 lines · 9 tokens per session scan A 5e1127ab7bab
text.criticize is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 9 tokens to every session and 718 once invoked, about $0.0000 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 2026-11-06.
text.criticize compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| text.criticizegpsaggese/helpers | Skill | 158 | today | Apache-2.0 | A | 9 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |