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 agentmods add skills/tianhanz/ears/reflectnpx skills add tianhanz/ears --skill reflectgit clone --depth 1 https://github.com/tianhanz/earsWrote 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/tianhanz/ears/reflect)<a href="https://agentmods.dev/skills/tianhanz/ears/reflect"><img src="https://agentmods.dev/badge/skills/tianhanz/ears/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 | $0.00106 | $0.01588 |
| Opus 5 | $0.00053 | $0.00794 |
| Sonnet 5 | $0.00021 | $0.00318 |
| Haiku 4.5 | $0.00011 | $0.00159 |
Grade B, and why
reflect scanned grade B 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 4d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat .claude/memory/pitfalls.yaml How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/reflect — Session Knowledge Extraction
Extract lessons from the current session and persist them to .claude/memory/ files. This is the mandatory feedback loop that turns one-off debugging into permanent project knowledge.
The argument provided is: $ARGUMENTS
Why This Exists
Without /reflect, knowledge dies with the session. The same bugs get re-discovered, the same patterns get re-learned, and the evolution system is an empty shell. This skill is the write-side of the memory loop (session-start protocol is the read-side).
Step 1 — Gather session context
Collect what happened this session:
# What files changed?
git diff main...HEAD --stat 2>/dev/null || git diff master...HEAD --stat
# What were the commits?
git log main...HEAD --oneline 2>/dev/null || git log master...HEAD --oneline
# Any error patterns in recent commands?
# (Review your conversation history for errors, surprises, workarounds)
Also mentally review:
- Bugs encountered and their root causes
- Unexpected behaviors or surprises
- Decisions made and why
- Patterns that worked well
- Things that took longer than expected (and why)
Step 2 — Classify findings
For each finding, classify it into exactly one category:
| Category | File | Criteria |
|---|---|---|
| Pitfall | pitfalls.yaml |
Something broke. You now know to avoid it. |
| Pattern | patterns.yaml |
A multi-step workflow that should be followed consistently. |
| Decision | decisions.yaml |
An architectural choice with trade-offs worth documenting. |
| Review insight | review-insights.yaml |
A valuable observation from an external review (GPT, Gemini, human). |
Quality bar: Each entry must be:
- Actionable — tells you what to do or not do
- Specific — names files, functions, exact error messages
- Non-duplicate — check existing entries first!
Skip if: The session was routine with no new lessons. Writing "everything went fine" is noise, not knowledge.
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.
- 4d ago First seen · 175 lines · 106 tokens per session scan B b092e01b6d3f
reflect is a skill published in the GitHub repository tianhanz/ears (5 stars, last pushed 4mo ago), licensed MIT. It adds 106 tokens to every session and 1,588 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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