skills
Copilot instructions1 starsChanged 58 days agoBSD-2-ClauseView on GitHub
1. NEVER implement Happy-Path or Superficial Fixes We build tools for the real world. Skills that generate only happy-path tests, ignore boundary conditions, or assume a secure environment will not be accepted. We require evil tests, mutation hunting, chaos scenarios, and tools that enforce rigorous planning and review workflows. 2. NEVER perform Blind Automation Without Verification Tools that automate processes without robust verification—such as blindly applying automated PR review suggestions without verifying the claim against the actual code—are fundamentally unsafe.…
- Commits and pushes
In this repository18 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- code-tidySkill
- curate-releaseSkill
- customer-strategy-forgeSkill
- designing-for-intentSkill
- feature-to-planSkill
- go-testable-designSkill
- instruction-styleSkill
- issue-refine-loopSkill
- mutation-hunterSkill
- optimize-prompt-loopSkill
- plan-to-graphSkill
- rugged-evil-testerSkill
- skill-reviewerSkill
- spec-auditorSkill
- to-earsSkill
- triaging-pr-reviewsSkill
The file
Show its rules and text
We split this copilot-instructions.md into the rules it gives an agent
15 rules. About 0 are common, 6 are distinctive, and 9 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
9
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Distinctive: line 10
Before opening a PR against this repo, you MUST:
- Distinctive: line 28
Do not bundle multiple unrelated changes into a single PR.
- Very specific: line 33
Skill Reviewer (CRITICAL): Before submitting any modifications to a SKILL.md or creating a new one, you MUST run the skill-reviewer skill …
- Very specific: line 34
Progressive Loading: Keep SKILL.md under ~500 lines by offloading detailed templates and conversational flows to a ./references/ directory.
- Very specific: line 37
Read existing skills (e.g., rugged-evil-tester, mutation-hunter, triaging-pr-reviews, plan-to-graph, feature-to-plan) and understand the …
- Very specific: line 69
Run npx -y @lousy-agents/cli lint.
- Distinctive: line 70
If a finding asks you to comply superficially (see §3), reject it consciously and note the rejection.
- Very specific: line 71
Run skill-reviewer against any modified SKILL.md.
- Distinctive: line 74
If a surprise occurred (behavior didn't match prediction, lint flagged something new), capture the lesson — keep the loop's learning …
- Very specific: line 78
Read .github/PULL_REQUEST_TEMPLATE.md and answer every section with concrete content.
- Distinctive: line 79
Search existing open and closed PRs for duplicates before opening a new one.
- Very specific: line 80
Run npx -y @lousy-agents/cli lint locally and resolve all errors before pushing.
- Very specific: line 81
Run the skill-reviewer skill against any SKILL.md you touched.
- Very specific: line 83
Never include .claude/settings.local.json or any credentials in a commit — settings.local.json is gitignored on purpose.
- Distinctive: line 86
Run this checklist in order.
≈ “Common” is an estimate: at least 1 in 5 of the 3,779 Copilot instructions files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Lousy Agents Skills — Foundational Mandates & Contributor Guidelines
Core Philosophy
This repository builds skills focused on creating secure, resilient, rugged, and production-ready software. Every change must be evaluated through this lens: Does this improve defense, expose vulnerabilities, enable rigorous analysis, or accelerate structured, high-quality engineering workflows (like planning or agent tooling)?
Instruction Architecture
This file is the canonical source of truth for shared contribution policy across GitHub Copilot code review, Copilot CLI, Codex, Claude Code, and Antigravity/Gemini. Harness-specific files (AGENTS.md, CLAUDE.md, GEMINI.md) must stay thin: they may route agents to this file and document harness-specific tool surfaces, but they must not duplicate project-wide policy, validation gates, or pull request requirements.
Pull Request Requirements
Before opening a PR against this repo, you MUST:
- Internalize the Core Philosophy.
- Read the entire PR template at
.github/PULL_REQUEST_TEMPLATE.mdand fill in every section with real, specific answers. Not summaries. Not placeholders. - Search for existing PRs — open AND closed — that address the same problem. If duplicates exist, STOP and inform your human partner.
- Human Verification (CRITICAL): You MUST present the complete git diff to your human partner and obtain explicit approval before running
git commitor opening a PR.
What We Will Not Accept (Strict Negative Constraints)
- NEVER implement Happy-Path or Superficial Fixes We build tools for the real world. Skills that generate only happy-path tests, ignore boundary conditions, or assume a secure environment will not be accepted. We require evil tests, mutation hunting, chaos scenarios, and tools that enforce rigorous planning and review workflows.
- NEVER perform Blind Automation Without Verification Tools that automate processes without robust verification—such as blindly applying automated PR review suggestions without verifying the claim against the actual code—are fundamentally unsafe. If implementing a fix, you MUST verify the failure first.
- NEVER make superficial "Compliance" Changes Our internal skill philosophy differs from generic published guidance. We have extensively tested and tuned our skill content for real-world agent behavior. Do not restructure, reword, or reformat skills just to "comply" with general documentation standards without providing extensive adversarial evaluation evidence showing the change improves outcomes.
- NEVER submit Bulk, Speculative, or Fabricated Content Do not bundle multiple unrelated changes into a single PR. Every PR must solve a real problem that someone actually experienced. Do not invent claims, fabricate problem descriptions, or hallucinate functionality.
Evaluation & Linting (MCP Integration)
Skills are code that shapes agent behavior. If you modify skill content, you must prove the change is effective:
- Lousy Agents MCP Tools: The repository is configured with
.mcp.json. You MUST utilize thelousy-agentsMCP server to evaluate and lint your skills. - Skill Reviewer (CRITICAL): Before submitting any modifications to a
SKILL.mdor creating a new one, you MUST run theskill-reviewerskill (usingactivate_skillor equivalent tools) against your work and fix any major or blocker anti-patterns detected. - Progressive Loading: Keep
SKILL.mdunder ~500 lines by offloading detailed templates and conversational flows to a./references/directory.
Understand the Project Before Contributing
Read existing skills (e.g., rugged-evil-tester, mutation-hunter, triaging-pr-reviews, plan-to-graph, feature-to-plan) and understand the project's design decisions. Changes that rewrite the project's voice or restructure its approach without understanding why it exists will be rejected.
Commands
The only tooling required to work in this repo is npx (Node 18+). There is no package.json — skills are markdown and YAML.
npx -y @lousy-agents/cli lint— full lint suite (skills, agents, hooks, instructions). Run from repo root.npx -y @lousy-agents/cli lint --skills— frontmatter validation for everySKILL.mdunderskills/(also available through the.github/skillscompatibility link).npx -y @lousy-agents/cli lint --hooks— schema validation for.claude/settings.jsonand.github/hooks/agent-shell/hooks.json(if present).npx -y @lousy-agents/cli lint --instructions— quality analysis of.github/copilot-instructions.md,CLAUDE.md, and other instruction files.npx -y @lousy-agents/cli new skill <name>— scaffold a new skill folder underskills/<name>/.npx -y skills add lousy-agents/skills --skill <name>— how downstream users install a skill from this repo into their own project.
MCP servers configured in .mcp.json (must be enabled in your client to use them):
lousy-agents— providesanalyze_instruction_quality,validate_instruction_coverage,analyze_action_versions,discover_environment,discover_feedback_loops, and related tools.context7— fetches current library/framework documentation.sequential-thinking— structured reasoning for complex problems.
Validation
A change is "validated" when every check below is green and the contributor can name the evidence:
- Lint is clean.
npx -y @lousy-agents/cli lintexits with 0 errors. Warnings are inspected, not ignored — each one must either be fixed or have a documented rationale for being kept. - Skill-reviewer agrees. For any modified or new
SKILL.md, run theskill-reviewerskill (ormcp__lousy-agents__analyze_instruction_qualityfor instructions) and fix every Blocker or Major finding before review. - Behavior was tested, not just lint-checked. Skills shape agent behavior — passing lint proves the file parses, not that the skill works. Invoke the changed skill in a real agent session and confirm the agent reaches the intended behavior.
Verification
Verification proves the change does what it claims, distinct from validation (which proves it meets standards):
- For skill content changes: demonstrate the behavior difference in a real agent invocation. Capture before/after transcripts or behavior notes in the PR description.
- For lint or workflow changes: show the lint output before and after the change. A workflow change must be exercised in a PR run, not just rendered.
- For instruction-file changes: re-run
npx -y @lousy-agents/cli lint --instructionsto confirm the targeted warnings disappear, and re-run a representative agent flow that consumes the instructions to confirm no regression.
Feedback Loop
The contribution loop for this repo is short and iterative — never a one-shot dump:
- Change one thing (a single skill, a single instruction section, one workflow job).
- Run
npx -y @lousy-agents/cli lint. Read every finding. - If a finding asks you to comply superficially (see §3), reject it consciously and note the rejection. If it surfaces a real defect, fix it.
- Run
skill-revieweragainst any modifiedSKILL.md. - Re-run lint to confirm the fix didn't regress another check.
- Present the diff to the human partner for explicit approval before committing.
- If a surprise occurred (behavior didn't match prediction, lint flagged something new), capture the lesson — keep the loop's learning visible to the next contributor.
Mandatory
These steps cannot be skipped, regardless of how small the change feels:
- Read
.github/PULL_REQUEST_TEMPLATE.mdand answer every section with concrete content. No placeholders. - Search existing open and closed PRs for duplicates before opening a new one.
- Run
npx -y @lousy-agents/cli lintlocally and resolve all errors before pushing. - Run the
skill-reviewerskill against anySKILL.mdyou touched. - Present the complete
git diffto your human partner and obtain explicit approval beforegit commitorgh pr create. - Never include
.claude/settings.local.jsonor any credentials in a commit —settings.local.jsonis gitignored on purpose.
Before Commit
Run this checklist in order. If any step fails, fix and restart from step 1:
git status— review staged and unstaged changes. Confirm no incidental files (local settings, scratch dirs) are staged.npx -y @lousy-agents/cli lint— must show 0 errors.- For each modified
SKILL.md: runskill-reviewerand fix all Blocker/Major findings. git diff --staged— read every hunk yourself before showing the human partner.- Human partner reviews the diff and gives explicit approval.
- Only then:
git commit.
Validation Suite
The minimum command set CI runs and contributors must run locally:
npx -y @lousy-agents/cli lint --skills
npx -y @lousy-agents/cli lint --hooks
npx -y @lousy-agents/cli lint --instructions
npx -y @lousy-agents/cli lint --agentsA full run is also fine:
npx -y @lousy-agents/cli lintCI runs the full suite via the zpratt/lousy-agents action defined in .github/workflows/ci.yml. The action and the CLI exercise the same underlying lint package, so a clean local run should match CI.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

