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/maorfsdev/reflect-yourselfWrote 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/commands/maorfsdev/reflect-yourself/reflect-yourself-skills)<a href="https://agentmods.dev/commands/maorfsdev/reflect-yourself/reflect-yourself-skills"><img src="https://agentmods.dev/badge/commands/maorfsdev/reflect-yourself/reflect-yourself-skills.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.01358 |
| Opus 5 | $0.00008 | $0.00679 |
| Sonnet 5 | $0.00003 | $0.00272 |
| Haiku 4.5 | $0.00002 | $0.00136 |
Grade A, and why
/reflect-yourself-skills scanned grade A with 1 finding 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 7d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
3. Test endpoint directly (curl/Postman) How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/reflect-yourself-skills - Skill Discovery from Patterns
Analyze session history to discover repeating patterns that could become reusable skills or commands.
Instructions for Agent
Step 1: Pattern Analysis
Review the conversation and any available context to identify:
Repeating Request Types
Look for requests that share the same intent, even with different wording:
- "debug the API" / "fix the endpoint" / "check why requests are failing"
- "create a new component" / "add a UI element" / "build a form"
- "write tests for this" / "add test coverage" / "test this function"
Multi-Step Workflows
Identify workflows that follow a consistent pattern:
- File creation → configuration → testing
- Debug → identify → fix → verify
- Research → implement → document
Domain Knowledge Requirements
Note specialized knowledge that was needed:
- Database schemas and relationships
- API conventions and authentication
- Project-specific file structures
Step 2: Candidate Evaluation
For each pattern, evaluate:
| Criterion | Question | Weight |
|---|---|---|
| Frequency | How often does this pattern occur? | High |
| Complexity | Does it require multiple steps or special knowledge? | Medium |
| Consistency | Is the workflow similar each time? | High |
| Teachability | Can it be documented clearly? | Medium |
Score each candidate:
- High Confidence (3+ occurrences, consistent workflow)
- Medium Confidence (2 occurrences, similar pattern)
- Low Confidence (1 occurrence, but complex enough to document)
Step 3: Location Decision
For each skill candidate:
Is it codebase-specific?
├── YES → Project Skill (.cursor/skills/)
│ Examples: api-debugging, database-migrations, deploy-workflow
│
└── NO → Could other projects benefit?
├── YES → Personal Skill (~/.cursor/skills/)
│ Examples: git-workflow, code-review, testing-patterns
│
└── NO → Probably a one-off, skip
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.
- 7d ago First seen · 212 lines · 15 tokens per session scan A f93d4dc298dc
/reflect-yourself-skills is a command published in the GitHub repository maorfsdev/reflect-yourself (24 stars, last pushed 6mo ago), licensed MIT. It adds 15 tokens to every session and 1,358 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.