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 ellmos-ai/bach --skill reflectiongit clone --depth 1 https://github.com/ellmos-ai/bachWrote 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/ellmos-ai/bach/reflection)<a href="https://agentmods.dev/skills/ellmos-ai/bach/reflection"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/reflection/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/ellmos-ai/bach/reflection"><img src="https://agentmods.dev/badge/skills/ellmos-ai/bach/reflection.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 | $0.00044 | $0.00331 |
| Opus 5.5 | $0.00018 | $0.00132 |
| Sonnet 5.5 | $0.00009 | $0.00066 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
reflection-agent 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 25d 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.
What it actually says
Reflection Agent
Uebersicht
Der Reflection-Agent analysiert die eigene Performance und identifiziert Verbesserungspotentiale. Er arbeitet meta-kognitiv und hilft dabei, systematische Fehler zu erkennen und Lernprozesse zu optimieren.
Verwendung
bach reflection status # Performance-Zusammenfassung
bach reflection gaps # Schwachstellen identifizieren
bach reflection review # Letzte Session analysieren
bach reflection log # Metriken anzeigen
Funktionen
- Performance-Tracking: Erfolgsrate, Latenz, Fehleranalyse
- Gap-Analyse: Identifiziert Bereiche mit niedriger Erfolgsrate
- Session-Review: Analysiert abgeschlossene Sessions
- Verbesserungs-Vorschlaege: Konkrete Handlungsempfehlungen
What ships with it
1 file 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.
- 25d ago Changed c2c78a5cddd9
- 1mo ago First seen · 49 lines · 44 tokens per session scan A 9bbc116d3b5b
reflection-agent is a skill published in the GitHub repository ellmos-ai/bach (8 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 331 once invoked, about $0.0002 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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