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 NikiforovAll/claude-code-rules --skill reflect-treegit clone --depth 1 https://github.com/NikiforovAll/claude-code-rulesWrote 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/nikiforovall/claude-code-rules/reflect-tree)<a href="https://agentmods.dev/skills/nikiforovall/claude-code-rules/reflect-tree"><img src="https://agentmods.dev/badge/skills/nikiforovall/claude-code-rules/reflect-tree/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/nikiforovall/claude-code-rules/reflect-tree"><img src="https://agentmods.dev/badge/skills/nikiforovall/claude-code-rules/reflect-tree.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 110 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.02660 |
| Opus 5.5 | $0.00000 | $0.01064 |
| Sonnet 5.5 | $0.00000 | $0.00532 |
| Haiku 4.5 | $0.00000 | $0.00266 |
Grade A, and why
reflect-tree 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/reflect-tree — session quest-tree
Produce a single-file interactive HTML quest-tree of a Claude Code session. The vertical spine is the linear sequence of turns; back-edges and off-spine nodes encode wrong turns (corrections, retries, reversals, dead-ends, backtracks) so the user can see the whole journey at a glance — including detours and where the agent had to redo work.
This is a sibling to /reflect. Same input contract, different output: /reflect is a two-pane incidents/recommendations dashboard; /reflect-tree is a graph.
When to use
- User invokes
/reflect-tree(no args) → analyze the current session from the in-context conversation. Do not re-read the session JSONL — work from the agent's own memory. - User invokes
/reflect-tree <session-id>or/reflect-tree <path-to-jsonl>→ runscripts/analyze_session.py <path>directly (this skill runs in a forked context —context: fork— so the compressed transcript is safe to ingest). The script outputs a compact markdown transcript: system reminders stripped, tool calls/results collapsed to one-liners, compaction blocks expanded with embedded user quotes. Then you classify each turn — the script does NOT classify, it only compresses.
Session JSONLs live under: ~/.claude/projects/<encoded-cwd>/<session-id>.jsonl
Node classifications
Each turn becomes a node. Pick the strongest applicable label:
- normal — routine forward progress (user request or assistant tool call/result with no problem)
- correction — user pushed back on an approach (
"no","don't","stop","actually") - retry — agent ran the same tool/intent 2+ times with variations before it worked
- reversal — agent edited then unwound (Edit → revert, Write → delete)
- dead-end — tool failed because of the environment (missing binary, wrong path, OS mismatch)
- backtrack — agent abandoned a path and resumed from an earlier state
- self-correction — agent caught its own mistake mid-stream
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 · 150 lines · 0 tokens per session scan A 862fb2e195b1
reflect-tree is a skill published in the GitHub repository NikiforovAll/claude-code-rules (142 stars, last pushed 23d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,660 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 2026-08-30.
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