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-buzzwords)<a href="https://agentmods.dev/agents/madebytokens/claude-code-plugins-madebytokens/analyze-buzzwords"><img src="https://agentmods.dev/badge/agents/madebytokens/claude-code-plugins-madebytokens/analyze-buzzwords/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-buzzwords"><img src="https://agentmods.dev/badge/agents/madebytokens/claude-code-plugins-madebytokens/analyze-buzzwords.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 | $0.01570 |
| Opus 5 | $0.00009 | $0.00785 |
| Sonnet 5 | $0.00003 | $0.00314 |
| Haiku 4.5 | $0.00002 | $0.00157 |
Grade A, and why
analyze-buzzwords 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 8d 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-buzzwords — 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Buzzwords
This agent analyzes resume content to detect overused buzzwords and corporate jargon that reduce clarity and impact.
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/buzzwords.md |
Full analysis with clarity score |
Execution Steps
-
Read input:
Read("working/writer/output.md") -
Analyze for buzzwords using patterns below
-
Write output:
Write("working/analysis/buzzwords.md", <analysis>)
Buzzword Categories
HIGH Severity: Corporate Jargon (Empty phrases - replace immediately)
| Buzzword | Context Exception | Suggested Alternative |
|---|---|---|
| synergy, synergize | - | collaboration, coordination, combined effort |
| leverage, leveraged | OK in financial context (leverage ratio, financial leverage, debt leverage) | use, apply, utilize |
| paradigm, paradigm shift | - | model, approach, framework; fundamental change |
| bandwidth | OK in technical context (network bandwidth, MB/s, Gbps, data transfer) | capacity, time, availability |
| circle back | - | follow up, revisit, discuss later |
| move the needle | - | make measurable impact, improve metrics |
| low-hanging fruit | - | quick wins, easy improvements |
| boil the ocean | - | overreach, attempt too much |
| value-add, value proposition | - | benefit, contribution, advantage |
| core competency | - | key skill, main strength |
| best-in-class, world-class | - | [describe what makes it excellent with specifics] |
| cutting-edge, bleeding-edge | - | [specify the technology or approach] |
| game-changer, game-changing | - | [describe the actual impact with metrics] |
| disruptive, disrupt | - | [describe what changed and how] |
| innovative, innovation | - | [describe the novel approach specifically] |
| revolutionary, transformational | - | [describe the transformation with evidence] |
| holistic | - | comprehensive, integrated, complete |
| robust | OK in technical context (robust testing, robust error handling, fault-tolerant) | reliable, well-tested, resilient |
| scalable | OK with specifics (scalable to N users, horizontally/vertically scalable) | [specify how it scales] |
| seamless | - | smooth, integrated, automatic, frictionless |
| streamlined | - | simplified, efficient, optimized |
| ecosystem | OK with platform names (AWS ecosystem, React ecosystem, Python ecosystem) | environment, platform, suite of tools |
| empower, empowered | - | enable, support, give authority to, train |
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.
- 8d ago First seen · 160 lines · 17 tokens per session scan A 384ba7fa0d68
analyze-buzzwords 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 1,570 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-buzzwords, differing in 0 lines, and is treated as a copy.
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