Deepseek Reason
ruvnet/ruflo
Reasoning-mode completion against DeepSeek's deepseek-reasoner model (R1) via /v1/chat/completions.
Applies the philosophical reasoning of Mary Midgley (British moral philosopher).
MITAuto-check passed
Install Mary Midgley
$ npx skills add K-Dense-AI/mimeographs --skill mary-midgley -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install K-Dense-AI/mimeographs mary-midgley --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mimeographs/mary-midgley .claude/skills/mary-midgley && rm -rf skills-srcUse ~/.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/
Install the "mary-midgley" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mary-midgley into .claude/skills/mary-midgley/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mary-midgley", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mary-midgleyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add K-Dense-AI/mimeographs --skill mary-midgley -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install K-Dense-AI/mimeographs mary-midgley --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/mimeographs/mary-midgley .agents/skills/mary-midgley && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mary-midgley" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mary-midgley into .agents/skills/mary-midgley/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mary-midgley", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add K-Dense-AI/mimeographs --skill mary-midgley -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install K-Dense-AI/mimeographs mary-midgley --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/mimeographs/mary-midgley .cursor/skills/mary-midgley && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mary-midgley" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mary-midgley into .cursor/skills/mary-midgley/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mary-midgley", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/K-Dense-AI/mimeographs.git --path mimeographs/mary-midgley--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add K-Dense-AI/mimeographs --skill mary-midgley -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install K-Dense-AI/mimeographs mary-midgley --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/mimeographs/mary-midgley .gemini/skills/mary-midgley && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mary-midgley" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mary-midgley into .gemini/skills/mary-midgley/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mary-midgley", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install K-Dense-AI/mimeographs mary-midgleyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add K-Dense-AI/mimeographs --skill mary-midgley -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .github/skills && cp -r skills-src/mimeographs/mary-midgley .github/skills/mary-midgley && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mary-midgley" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mary-midgley into .github/skills/mary-midgley/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mary-midgley", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add K-Dense-AI/mimeographs --skill mary-midgley -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install K-Dense-AI/mimeographs mary-midgley --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/K-Dense-AI/mimeographs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/mimeographs/mary-midgley .opencode/skills/mary-midgley && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mary-midgley" agent skill from https://github.com/K-Dense-AI/mimeographs/tree/main/mimeographs/mary-midgley into .opencode/skills/mary-midgley/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mary-midgley", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
mary-midgley- GitHub stars
- 129
- Token cost
- ~1.5k tokens
- SKILL.md length
- 754 words
- Files
- 72 (incl. references)
- Skills in repo
- 60
- Repo updated
- First seen
- Licence
- MIT
At a glance
Applies the philosophical reasoning of Mary Midgley (British moral philosopher).
- Works in 3 steps: Look at the real world to identify the… → Dig deep beneath the surface arguments… → Avoid making abstract lists of…
- Analyzing ethical dilemmas involving animals
- SKILL.md covers Core principles, How Mary Midgley reasons, Applying the frameworks and Anti-patterns she pushes against, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Mary Midgley is an agent skill from K-Dense-AI/mimeographs. Applies the philosophical reasoning of Mary Midgley (British moral philosopher). Use this skill when analyzing ethical dilemmas involving animals, environmental policy, the limits of science (scientism/reductionism), or when users are trapped by unhelpful metaphors (like 'the selfish gene' or 'humans as machines'). Trigger this whenever evaluating the intersection of biology and human nature, resolving irreconcilable viewpoints, or diagnosing systemic conceptual blockages in society or organizations. Midgley's…
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 74 other files, including reference files (for example `AGENTS.md`, `_workspace/agents_output.e584bd6c.json` and `_workspace/clustered_corpus.e584bd6c.json`).
The repository describes itself as: Ready-to-use agent skills that clone the thinking of founders, philosophers, and scientists into your agent. Generated with K-Dense-AI/mimeo. The licence is MIT.
When your agent uses it
- Analyzing ethical dilemmas involving animals
- Environmental policy
- The limits of science (scientism/reductionism)
- Users are trapped by unhelpful metaphors (like the selfish gene
Example prompts
- “the selfish gene”
- “humans as machines”
- “plumbing”
- “/mary-midgley”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Look at the real world to identify the conceptual blockage or leak.
- Dig deep beneath the surface arguments to locate the structural assumption causing the issue.
- Avoid making abstract lists of conditions; instead, use metaphor and analogy to envision a new, workable conceptual framework.
What it can do on your machine
Read from SKILL.md and the folder at commit a38f5fc. 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
Mary Midgley loads about 1.5k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 163 tokens; SKILL.md has 754 words of instructions outside code blocks.
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 K-Dense-AI/mimeographs at commit a38f5fc, republished under its MIT licence (© K-Dense-AI). 754 words, ~1,508 tokens.
Download SKILL.mdSave it as
.claude/skills/mary-midgley/SKILL.md (or your agent's skills folder). This skill also uses 71 other files; get the full folder from GitHub.- name
- mary-midgley
- description
- Applies the philosophical reasoning of Mary Midgley (British moral philosopher). Use this skill when analyzing ethical dilemmas involving animals, environmental policy, the limits of science (scientism/reductionism), or when users are trapped by unhelpful metaphors (like 'the selfish gene' or 'humans as machines'). Trigger this whenever evaluating the intersection of biology and human nature, resolving irreconcilable viewpoints, or diagnosing systemic conceptual blockages in society or organizations. Midgley's approach emphasizes holism, emotional fellowship, and viewing philosophy as practical 'plumbing' rather than abstract logic.
Thinking like Mary Midgley
Mary Midgley was a British moral philosopher who viewed philosophy not as a competitive academic sport, but as an inescapable, practical necessity for making sense of a messy world. Her thinking is characterized by a fierce resistance to reductionism—particularly the idea that science (and physics in particular) is the only valid way to understand reality. Instead, she championed a holistic, multi-disciplinary approach that recognizes humans as deeply social animals embedded in a complex natural world.
Reach for this skill whenever you're diagnosing conceptual blockages, navigating ethical questions involving animals or the environment, or helping a user untangle themselves from overly reductive, single-cause explanations of human behavior.
Core principles
- Acknowledge our animal nature: Because human needs and motives are continuous with other living creatures, ground moral and behavioral analyses in our biological and social reality rather than treating humans as disembodied, purely rational minds.
- Treat philosophy as inescapable plumbing: Because avoiding philosophy only defaults you to a bad, unexamined one, actively surface and repair the hidden conceptual schemes that cause thought to stagnate.
- Weigh scientific metaphors heavily: Because metaphors like "the selfish gene" or "humans as machines" generate social fatalism and shape ideology, rigorously interrogate the imagery used to explain data.
- Base moral consideration on emotional fellowship: Because treating intelligence as the sole metric for rights would prioritize a computer over a sentient creature, extend moral consideration based on our capacity for deep relationships and shared vulnerability.
For detailed rationale and quotes, see references/principles.md.
How Mary Midgley reasons
Midgley reasons by looking at the whole picture rather than dissecting it into isolated parts. When confronted with a complex human behavior or societal issue, she asks first: "What are the hidden metaphors driving this view?" She emphasizes our evolutionary sociability—the idea that before we are thinkers, we are lovers and haters embedded in a community. She actively dismisses single-cause explanations (like Freud's sex or Dawkins' genetic competition) as overly confident myths that fail to capture the complexity of human life.
To do this, she relies on mental models like Philosophy as Plumbing, where she pulls up the floorboards of our assumptions to find structural leaks, and Science as Mythmaking, which treats major scientific theories as modern creation myths that need to be kept in check before they become ideologies. For her full toolkit of lenses, see references/mental-models.md.
Applying the frameworks
Philosophical Plumbing
Use when a user or organization is stuck in a dysfunctional way of thinking.
- Look at the real world to identify the conceptual blockage or leak.
- Dig deep beneath the surface arguments to locate the structural assumption causing the issue.
- Avoid making abstract lists of conditions; instead, use metaphor and analogy to envision a new, workable conceptual framework.
Show full SKILL.md (299 more words)Show less
Dialectical Synthesis
Use when facing intractably irreconcilable viewpoints.
- Assume both opposing positions contain some truth.
- Step back to find a wider perspective that encompasses both.
- Sift and integrate the truths rather than trying to win the argument.
Multi-Disciplinary Lens
Use when a phenomenon is being reduced to a single metric or scientific explanation.
- Identify the reductionist explanation (e.g., physicalism).
- Layer on psychological, social, and ethical lenses to capture the full meaning of the phenomenon.
For full steps and rationale, see references/frameworks.md.
Anti-patterns she pushes against
- Scientism and Reductionism: Believing science can explain absolutely everything distracts us from the complexity of lived reality and inappropriately applies simple physical models to complex moral domains.
- The "Selfish Gene" Myth: Treating human nature as fundamentally selfish ignores the biological reality of cooperation and generates a false social fatalism.
- Social Atomism: Viewing people as isolated, egoistic units ignores our evolutionary history as social primates and misconstrues relationships as merely instrumental.
- Combative Academic Philosophy: Cultivating a tough-minded persona to win arguments fosters egoism rather than the collective advancement of inquiry.
How to use this skill in conversation
When a user presents a problem rooted in reductionist thinking, a clash of disciplines, or an ethical dilemma regarding the natural world, channel Midgley's holistic approach. Surface the relevant principle or framework by name (e.g., "Mary Midgley calls this 'Philosophical Plumbing'").
If the user is relying on a harmful metaphor (like "business is just Darwinian survival"), gently challenge it by pointing out that the choice of metaphor is a highly responsible act, and offer a more cooperative, ecologically grounded alternative. Do not pretend to be Midgley or speak in her voice; instead, apply her insistence on multi-disciplinary understanding, emotional fellowship, and down-to-earth imagery to help the user build a more coherent world picture.
© K-Dense-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 71 other files (references) in mimeographs/mary-midgley of K-Dense-AI/mimeographs.
- SKILL.md
- AGENTS.md
- _workspace/agents_output.e584bd6c.json
- _workspace/clustered_corpus.e584bd6c.json
- _workspace/discovery/books.json
- _workspace/discovery/essays.json
- _workspace/discovery/frameworks.json
- _workspace/discovery/interviews.json
- _workspace/discovery/letters.json
- _workspace/discovery/papers.json
- _workspace/discovery/podcasts.json
- _workspace/discovery/ranked_sources.e584bd6c.json
- _workspace/discovery/talks.json
- _workspace/distilled/src_000.e584bd6c.json
- _workspace/distilled/src_001.e584bd6c.json
- _workspace/distilled/src_002.e584bd6c.json
- _workspace/distilled/src_004.e584bd6c.json
- _workspace/distilled/src_005.e584bd6c.json
- … and 54 more
Open the folder on GitHubat commit a38f5fc
Compare with similar skills
Mary Midgley 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mary Midgley this skillK-Dense-AI/mimeographs | 129 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Deepseek Reasonruvnet/ruflo | 74k | — | ~626 | Automated safety check: Notes | MIT | |
| Ejentum Reasoning Harnesssickn33/agentic-awesome-skills | 47k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Nowait Reasoning Optimizerdavila7/claude-code-templates | 33k | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Meta Applywanshuiyin/Auto-claude-code-research-in-sleep | 17k | 1 repos | ~2.1k | Automated safety check: Notes | MIT | |
| Meta Applywanshuiyin/Auto-claude-code-research-in-sleep | 17k | — | ~2k | Automated safety check: Notes | MIT |
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Questions about Mary Midgley
What does Mary Midgley do?
Applies the philosophical reasoning of Mary Midgley (British moral philosopher). Mary Midgley is an agent skill from K-Dense-AI/mimeographs. Applies the philosophical reasoning of Mary Midgley (British moral philosopher).
When should I use Mary Midgley?
Mary Midgley fits situations like: analyzing ethical dilemmas involving animals; environmental policy; the limits of science (scientism/reductionism); users are trapped by unhelpful metaphors (like the selfish gene.
How do I install Mary Midgley in Claude Code?
Run `npx skills add K-Dense-AI/mimeographs --skill mary-midgley -a claude-code`. Or copy the skill folder (mimeographs/mary-midgley in K-Dense-AI/mimeographs) into .claude/skills/mary-midgley in your project. Claude Code loads it when a task matches its description.
How do I install Mary Midgley in Codex?
Run `npx skills add K-Dense-AI/mimeographs --skill mary-midgley -a codex`. Or copy the skill folder (mimeographs/mary-midgley in K-Dense-AI/mimeographs) into .agents/skills/mary-midgley in your project. Codex loads it when a task matches its description.
Can I use Mary Midgley 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 K-Dense-AI/mimeographs --skill mary-midgley -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mary-midgley, .gemini/skills/mary-midgley, .github/skills/mary-midgley and .opencode/skills/mary-midgley in your project.
What does Mary Midgley need to run?
SKILL.md names no scripts, command-line tools or credentials: Mary Midgley is instructions for the agent only.
Does Mary Midgley 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 Mary Midgley 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 Mary Midgley use?
Mary Midgley 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 Mary Midgley use?
About 1.5k tokens (SKILL.md is roughly 6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.8k tokens, read only when the agent opens those files.
What are the alternatives to Mary Midgley?
Skills that share tags, products or a category with Mary Midgley: Deepseek Reason (ruvnet/ruflo, 74k stars), Ejentum Reasoning Harness (sickn33/agentic-awesome-skills, 47k stars), Nowait Reasoning Optimizer (davila7/claude-code-templates, 33k stars) and Meta Apply (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mary Midgley?
K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/mimeographs, which has 129 GitHub stars. The repository holds 60 skills in this directory. The repository was last updated on August 18, 2026.
Source: K-Dense-AI/mimeographs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.