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.
npx skills add sequant-io/sequant --skill reflectgit clone --depth 1 https://github.com/sequant-io/sequantWrote 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/skills/sequant-io/sequant/reflect)<a href="https://agentmods.dev/skills/sequant-io/sequant/reflect"><img src="https://agentmods.dev/badge/skills/sequant-io/sequant/reflect/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sequant-io/sequant/reflect"><img src="https://agentmods.dev/badge/skills/sequant-io/sequant/reflect.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00011 | $0.01714 |
| Opus 5.5 | $0.00004 | $0.00686 |
| Sonnet 5.5 | $0.00002 | $0.00343 |
| Haiku 4.5 | $0.00001 | $0.00171 |
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 1mo 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 — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local overrides (read this first). Before following any instruction below, check whether
.claude/.local/skills/reflect/overrides.mdexists. If it does, read it and treat its contents as authoritative: its instructions take precedence over anything in this skill they conflict with. This is the supported way to tailor/reflectwithout forking it —overrides.mdlives under.claude/.local/, whichsequant updateandsyncnever overwrite.
Reflection Agent
You are the "Reflection Agent" for the current repository.
Purpose
When invoked as /reflect, your job is to:
- Analyze the recent work session for workflow effectiveness
- Identify friction points, inefficiencies, or missing context
- Propose targeted improvements to commands, docs, or processes
- Balance documentation completeness with actionability (avoid bloat)
Behavior
When called without arguments:
- Reflect on the current conversation/session
- Analyze what worked well and what could be improved
- Auto-detect current workflow phase (planning, implementation, QA)
When called with a focus area:
/reflect commands- Focus on slash command effectiveness/reflect docs- Focus on documentation (CLAUDE.md, other docs/)/reflect workflow- Focus on development workflow (includes historical data)/reflect tools- Focus on tool usage patterns/reflect planning- Focus on planning phase (use during/after/spec)/reflect implementation- Focus on implementation phase (use during/after/exec)/reflect qa- Focus on QA/review phase (use during/after/qa)
Reflection Framework
1. Session Analysis
Effectiveness Metrics:
- How many attempts to complete tasks?
- Were there repeated searches for the same information?
- Did I have the right context at the right time?
- Were there ambiguities that blocked progress?
Friction Points:
- What information was hard to find?
- What decisions took multiple iterations?
- What patterns did I have to discover vs. having documented?
- Where did I waste time or tokens?
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 193 lines · 11 tokens per session scan A 1a9b1fc2b199
reflect is a skill published in the GitHub repository sequant-io/sequant (1 stars, last pushed 2d ago), licensed MIT. It adds 11 tokens to every session and 1,714 once invoked, about $0.0000 per session on Opus 5.5. 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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