Agent skill

The Boring Answer Detector

by mohitagw15856 in mohitagw15856/pm-claude-skills

Scan a plan, draft, or idea for the generic, textbook, everyone-would-say-that lines — and push each toward something sharper and more specific.

MITAuto-check passed

Install The Boring Answer Detector

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill the-boring-answer-detector -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills the-boring-answer-detector --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/the-boring-answer-detector .claude/skills/the-boring-answer-detector && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
the-boring-answer-detector
GitHub stars
1.4k
Token cost
~891 tokens
SKILL.md length
430 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Scan a plan, draft, or idea for the generic, textbook, everyone-would-say-that lines — and push each toward something sharper and more specific.

  • Works in 5 steps: Spot the generic tells. Advice that… → Name why it's flat. For each, say what… → Sharpen with specificity. The cure for… → …
  • Asked is this too generic
  • SKILL.md covers What This Skill Produces, Required Inputs, Framework: Flag The Average,… and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

The Boring Answer Detector is an agent skill from mohitagw15856/pm-claude-skills. Scan a plan, draft, or idea for the generic, textbook, everyone-would-say-that lines — and push each toward something sharper and more specific. Use when asked is this too generic, make this less boring, why does my plan feel bland, or spot the clichés in my thinking. Produces a line-by-line flag of the mediocre and predictable parts, why each is forgettable, and a sharper, more specific, or more surprising alternative for each — so the output stops sounding like the average of the internet.

Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked is this too generic
  • Make this less boring
  • Why does my plan feel bland
  • Spot the clichés in my thinking

Example prompts

  • “/the-boring-answer-detector”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Spot the generic tells. Advice that applies to literally anyone, framings everyone uses, hedged non-statements, and "best-practice"…
  2. Name why it's flat. For each, say what makes it forgettable — usually it's true but says nothing specific to this situation.
  3. Sharpen with specificity. The cure for generic is concrete: a real detail, a number, a named tradeoff, a strong stance, or a non-obvious…
  4. Push one or two toward surprise. Where it fits, replace a safe line with a genuinely non-obvious take.
  5. Leave the good parts alone. Flag what's already sharp so the edit doesn't flatten it or over-spice everything.

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

The Boring Answer Detector loads about 891 tokens when it runs. Until then it costs about 131 tokens; SKILL.md has 430 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~131
When it runs · the whole SKILL.md, loaded when a task matches
~891

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 430 words, ~891 tokens.

Download SKILL.mdSave it as .claude/skills/the-boring-answer-detector/SKILL.md (or your agent's skills folder).
name
the-boring-answer-detector
description
Scan a plan, draft, or idea for the generic, textbook, everyone-would-say-that lines — and push each toward something sharper and more specific. Use when asked is this too generic, make this less boring, why does my plan feel bland, or spot the clichés in my thinking. Produces a line-by-line flag of the mediocre and predictable parts, why each is forgettable, and a sharper, more specific, or more surprising alternative for each — so the output stops sounding like the average of the internet.

The Boring Answer Detector

AI (and tired humans) default to the safe, average, textbook answer — technically correct and utterly forgettable. This audits your plan or draft for exactly those lines: the generic advice, the predictable framing, the thing anyone would say. Then it pushes each toward something specific, surprising, or actually yours. It's a bland-o-meter with a fix attached.

What This Skill Produces

  • The boring-line flags — the specific parts that are generic, predictable, or textbook
  • Why each is forgettable — what makes it the average answer (it applies to anyone; it's advice everyone's heard; it says nothing false but nothing new)
  • A sharper version — a more specific, concrete, or non-obvious alternative for each
  • The keepers — the parts that are already sharp, so you don't over-edit

Required Inputs

Ask for these if not provided:

  • The content — the plan, draft, pitch, or idea to scan (paste it)
  • The goal — what it's for and who it's for (specificity depends on audience)
  • How bold — sharpen-but-safe, or make-it-provocative
  • Anything fixed — parts that must stay as-is

Framework: Flag The Average, Sharpen It

  1. Spot the generic tells. Advice that applies to literally anyone, framings everyone uses, hedged non-statements, and "best-practice" boilerplate are the boring parts.
  2. Name why it's flat. For each, say what makes it forgettable — usually it's true but says nothing specific to this situation.
  3. Sharpen with specificity. The cure for generic is concrete: a real detail, a number, a named tradeoff, a strong stance, or a non-obvious angle.
  4. Push one or two toward surprise. Where it fits, replace a safe line with a genuinely non-obvious take.
  5. Leave the good parts alone. Flag what's already sharp so the edit doesn't flatten it or over-spice everything.
Show full SKILL.md (147 more words)Show less

Output Format

Scanning: [the content] · for [audience]
Boring lineWhy it's flatSharper version
"[generic line]"[applies to anyone / cliché / hedged]"[specific, concrete, or surprising rewrite]"

Already sharp (keep): [the strong parts]. Overall: [how generic it is + the one change with the most impact].

Quality Checks

  • Flags the genuinely generic/predictable lines, specifically
  • Explains why each is forgettable
  • Offers a concrete, sharper alternative for each
  • Pushes at least one toward the non-obvious
  • Identifies what's already good so it isn't over-edited

Anti-Patterns

  • Calling everything boring including the good parts.
  • "Make it punchier" with no specific rewrite.
  • Swapping one cliché for another.
  • Over-spicing until it's gimmicky instead of sharp.

Example Trigger Phrases

  • "Is my plan too generic? Sharpen it."
  • "This draft feels bland — flag the boring bits."
  • "Why does my pitch sound like everyone else's?"
  • "Spot the clichés in this and fix them."
  • "Make this less textbook and more specific."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/the-boring-answer-detector of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

The Boring Answer Detector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

The Boring Answer Detector compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
The Boring Answer Detector this skillmohitagw15856/pm-claude-skills1.4k—~891Automated safety check: PassMIT
Scanwshobson/agents40k—~2.2kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC276k—~1.5kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC276k—~1.3kAutomated safety check: PassMIT
Vulnerability Scanningsickn33/agentic-awesome-skills47k1 repos~2.8kAutomated safety check: PassMIT
Repo Scanaffaan-m/ECC277k1 repos~1.8kAutomated safety check: PassMIT

Similar skills

  • Scan

    wshobson/agents

    Scans the codebase to generate project-doc.md and AGENTS.md.

    40k GitHub stars~2.2k tokensUpdated 6 days ago
    Agent WorkflowsAuto-check passed
  • Repo Scan

    affaan-m/ECC

    固定されレビュー可能なコミットから外部の repo-scan スキルをインストールするブートストラップ用ポインター。クロススタックのソースコード資産監査を実行する前に repo-scan のインストールが必要な場合に使用する。この ECC ポインター自体は監査を実行しない。

    276k GitHub stars~1.5k tokensUpdated yesterday
    Auto-check passed
  • Repo Scan

    affaan-m/ECC

    用于从固定且可审查的提交安装外部 repo-scan 技能的引导指针。在运行跨栈源代码资产审计前需要安装 repo-scan 时使用;此 ECC 指针本身不执行审计。

    276k GitHub stars~1.3k tokensUpdated yesterday
    Auto-check passed
  • Vulnerability Scanning

    sickn33/agentic-awesome-skills

    Scan systems and dependencies for CVEs and security vulnerabilities.

    47k GitHub starsUsed in 1 repo~2.8k tokens
    SecurityAuto-check passed
  • Repo Scan

    affaan-m/ECC

    Bootstrap pointer that installs the external repo-scan skill from a pinned, reviewable commit.

    277k GitHub starsUsed in 1 repo~1.8k tokens
    DevelopmentAuto-check passed
  • Security Scan

    affaan-m/ECC

    Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield.

    277k GitHub starsUsed in 5 repos~1.1k tokens
    Agent WorkflowsAuto-check passed

More from mohitagw15856/pm-claude-skills

All 1,348 skills in this repo
  • Car Tco

    mohitagw15856/pm-claude-skills

    Compare the total cost of car ownership across buy-new, buy-used, lease, and keep-your-current-car — depreciation, insurance, maintenance ramp, and fuel over a real horizon, not just the monthly…

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Cs Health Scorecard

    mohitagw15856/pm-claude-skills

    Build a customer health scorecard for a specific account. An agent skill from mohitagw15856/pm-claude-skills.

    1.4k GitHub stars~2.4k tokensUpdated yesterday
    Auto-check passed
  • Exit Waterfall

    mohitagw15856/pm-claude-skills

    Compute who gets what at each exit price from a cap table — liquidation preferences, conversion points, and where the founders' share collapses.

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Feature Prioritisation

    mohitagw15856/pm-claude-skills

    Apply prioritisation frameworks (RICE, MoSCoW, Kano, ICE, Opportunity Scoring) to rank features and backlog items.

    1.4k GitHub stars~2k tokensUpdated yesterday
    Auto-check passed
  • Fire Number

    mohitagw15856/pm-claude-skills

    Compute a financial-independence (FIRE) target and years-to-reach with every assumption labeled as an assumption — plus a sensitivity table instead of a single false-precision answer.

    1.4k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Freelance Rate

    mohitagw15856/pm-claude-skills

    Derive a freelance day/hourly rate backwards from target income, honest billable utilization, overhead, and the self-employment tax premium — the arithmetic that proves a rate is not salary÷2000.

    1.4k GitHub stars~1.2k tokensUpdated yesterday
    Auto-check passed

Questions about The Boring Answer Detector

What does The Boring Answer Detector do?

Scan a plan, draft, or idea for the generic, textbook, everyone-would-say-that lines — and push each toward something sharper and more specific. The Boring Answer Detector is an agent skill from mohitagw15856/pm-claude-skills. Scan a plan, draft, or idea for the generic, textbook, everyone-would-say-that lines — and push each toward something sharper and more specific.

When should I use The Boring Answer Detector?

The Boring Answer Detector fits situations like: asked is this too generic; make this less boring; why does my plan feel bland; spot the clichés in my thinking.

How do I install The Boring Answer Detector in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill the-boring-answer-detector -a claude-code`. Or copy the skill folder (skills/the-boring-answer-detector in mohitagw15856/pm-claude-skills) into .claude/skills/the-boring-answer-detector in your project. Claude Code loads it when a task matches its description.

How do I install The Boring Answer Detector in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill the-boring-answer-detector -a codex`. Or copy the skill folder (skills/the-boring-answer-detector in mohitagw15856/pm-claude-skills) into .agents/skills/the-boring-answer-detector in your project. Codex loads it when a task matches its description.

Can I use The Boring Answer Detector in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill the-boring-answer-detector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/the-boring-answer-detector, .gemini/skills/the-boring-answer-detector, .github/skills/the-boring-answer-detector and .opencode/skills/the-boring-answer-detector in your project.

What does The Boring Answer Detector need to run?

SKILL.md names no scripts, command-line tools or credentials: The Boring Answer Detector is instructions for the agent only.

Does The Boring Answer Detector access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is The Boring Answer Detector safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does The Boring Answer Detector use?

The Boring Answer Detector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does The Boring Answer Detector use?

About 891 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to The Boring Answer Detector?

Skills that share tags, products or a category with The Boring Answer Detector: Scan (wshobson/agents, 40k stars), Repo Scan (affaan-m/ECC, 276k stars), Repo Scan (affaan-m/ECC, 276k stars) and Vulnerability Scanning (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains The Boring Answer Detector?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.