Borrowing it
Nothing to install: this file belongs to freegyes/project-ContemPlace. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/freegyes/project-ContemPlace/main/.claude/commands/reflect.mdgit clone --depth 1 https://github.com/freegyes/project-ContemPlaceWrote 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/freegyes/project-contemplace/reflect)<a href="https://agentmods.dev/commands/freegyes/project-contemplace/reflect"><img src="https://agentmods.dev/badge/commands/freegyes/project-contemplace/reflect.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 | $0.00000 | $0.01854 |
| Opus 5 | $0.00000 | $0.00927 |
| Sonnet 5 | $0.00000 | $0.00371 |
| Haiku 4.5 | $0.00000 | $0.00185 |
Grade A, and why
reflect 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reflect
Session-closing ritual. Review what happened, find what could be better, improve the system that produces the work — not just the work itself.
Arguments
$ARGUMENTS — optional focus area (e.g., "commands", "docs", "capture voice"). Without arguments, reviews everything.
Philosophy
Every session teaches something. Pushbacks are the highest-signal data — they reveal where the system's instructions diverge from the user's actual expectations. The goal is to close that gap so the same correction never needs to happen twice.
Document heavily. If something was decided, write it down. If something was learned, persist it. The cost of writing too much is low; the cost of forgetting is high. Prefer updating existing documents over hoping the next session will remember.
Workflow
Phase 1: Reconstruct the session
Scan the full conversation and build a map of what happened. Do this analytically — do not output anything yet.
Identify:
- Pushbacks and corrections: Every instance where the user redirected, corrected, or overrode your approach. These are the primary signal. For each one, note: what you did, what the user wanted instead, and why the gap existed.
- Commands run: Which custom commands (
/audit-captures,/work-on-issue,/extract-fragments,/harvest-ideas) were invoked? What was their output quality? - Decisions made: Any architectural, design, or process decisions — explicit or implicit. Include decisions the user made by choosing one recommendation over another.
- Friction points: Moments where the user had to repeat themselves, ask clarifying questions about your output, or wait for information that should have been obvious.
- What worked well: Interactions that flowed smoothly — these confirm existing instructions are correct. Don't skip this; it prevents over-correction.
Phase 2: Root-cause analysis
For each pushback or friction point, classify the root cause:
| Root cause | Fix location |
|---|---|
| Command produced wrong output or missed a step | .claude/commands/<command>.md |
| Agent didn't follow an existing instruction | Feedback memory (behavioral correction) |
| Agent lacked context it should have had | CLAUDE.md, project memory, or reference memory |
| A convention or constraint changed during the session | CLAUDE.md, docs/decisions.md |
| Documentation is stale or missing after session's work | docs/ files, README.md |
| Capture voice or system prompt needs tuning | DB update + migration seed |
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.
- 6d ago First seen · 143 lines · 0 tokens per session scan A 5e67e6c70550
reflect is a command published in the GitHub repository freegyes/project-ContemPlace (3 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,854 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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learn
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