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.
git clone --depth 1 https://github.com/MadeByTokens/claude-code-plugins-madebytokensWrote 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/agents/madebytokens/claude-code-plugins-madebytokens/analyze-vague-claims)<a href="https://agentmods.dev/agents/madebytokens/claude-code-plugins-madebytokens/analyze-vague-claims"><img src="https://agentmods.dev/badge/agents/madebytokens/claude-code-plugins-madebytokens/analyze-vague-claims/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/agents/madebytokens/claude-code-plugins-madebytokens/analyze-vague-claims"><img src="https://agentmods.dev/badge/agents/madebytokens/claude-code-plugins-madebytokens/analyze-vague-claims.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 | $0.00017 | $0.01268 |
| Opus 5 | $0.00009 | $0.00634 |
| Sonnet 5 | $0.00003 | $0.00254 |
| Haiku 4.5 | $0.00002 | $0.00127 |
Grade A, and why
analyze-vague-claims 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.
This is a copy
100% identical to analyze-vague-claims — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Vague Claims
This agent analyzes resume content to detect vague or unquantified claims that should be made more specific.
FILE-BASED I/O PROTOCOL
You MUST read inputs from files and write outputs to files.
Input Files (READ these)
| File | Description |
|---|---|
working/writer/output.md |
The resume to analyze |
Output Files (WRITE these)
| File | Description |
|---|---|
working/analysis/vague_claims.md |
Full analysis with score and issues |
Execution Steps
-
Read input:
Read("working/writer/output.md") -
Analyze for vague claims using patterns below
-
Write output:
Write("working/analysis/vague_claims.md", <analysis>)
Pattern Reference
Use these patterns to identify vague claims. Report only the HIGHEST severity issue per line.
HIGH Severity (Must Fix)
| Pattern | Issue | Exception | Suggestion |
|---|---|---|---|
| "led team", "managed team", "supervised team", "directed team" without size | Team size not specified | OK if followed by "of [number]" | Specify team size: "Led team of [N] engineers" |
| "improved", "increased", "enhanced", "boosted", "optimized" without metric | Improvement not quantified | OK if followed by "by [number]%" or specific metric | Quantify: "Improved [X] by [N]%" |
| "reduced", "decreased", "cut", "lowered" without metric | Reduction not quantified | OK if followed by "by [number]%" or specific metric | Quantify: "Reduced [X] by [N]%" |
| "things", "stuff" | Informal and vague | Never acceptable | Be specific about what was done |
MEDIUM Severity (Should Fix)
| Pattern | Issue | Suggestion |
|---|---|---|
| "responsible for" | Passive language - what did you actually DO? | Replace with action verb: "Managed", "Developed", "Led" |
| "helped with", "helped to" | Understates contribution | "Collaborated with X to achieve Y" or specify your contribution |
| "worked on" | Vague - what was your specific role? | Use specific verb: "Designed", "Built", "Implemented" |
| "assisted", "assisted with", "assisted in" | Understates contribution | Clarify your specific contribution and impact |
| "involved in", "involved with" | Doesn't specify your role | Describe your specific contribution |
| "significant", "significantly", "substantial", "substantially" | Vague intensifier without evidence | Replace with specific number: "40% improvement" |
| "good results", "great results", "excellent results" | Subjective without evidence | Quantify the results with specific metrics |
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 · 127 lines · 17 tokens per session scan A 57b7ca443b80
analyze-vague-claims is an agent published in the GitHub repository MadeByTokens/claude-code-plugins-madebytokens (2 stars, last pushed 7mo ago), licensed MIT. It adds 17 tokens to every session and 1,268 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to analyze-vague-claims, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.