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.
git clone --depth 1 https://github.com/Jamie-BitFlight/claude_skillsWrote 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/jamie-bitflight/claude_skills/analyze)<a href="https://agentmods.dev/commands/jamie-bitflight/claude_skills/analyze"><img src="https://agentmods.dev/badge/commands/jamie-bitflight/claude_skills/analyze/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/commands/jamie-bitflight/claude_skills/analyze"><img src="https://agentmods.dev/badge/commands/jamie-bitflight/claude_skills/analyze.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 | $0.00010 | $0.00445 |
| Opus 5.5 | $0.00004 | $0.00178 |
| Sonnet 5.5 | $0.00002 | $0.00089 |
| Haiku 4.5 | $0.00001 | $0.00044 |
Grade A, and why
analyze scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Run the autonomous transcript analysis pipeline. Spawn the @transcript-analyst agent to query JSONL session data, detect anti-patterns, and write structured findings.
Arguments
<user_arguments>$ARGUMENTS</user_arguments>
--project {project}— Scope analysis to a specific project. The project key is the path with hyphens replacing slashes. Default: current project (derived from cwd).--dimensions {dimensions}— Comma-separated list of dimensions to analyze. Options: tool-misuse, errors, tooling-gaps, delegation, shortest-path, red-herrings, interruptions, missing-hooks, all. Default: all.
Execution Steps
-
Resolve transcript path. Determine the project transcript directory:
~/.claude/projects/{project}/If
--projectis provided, use it as the project key. Otherwise, derive from the current working directory by replacing/with-and prepending-. -
Create output directory. Ensure
.planning/kaizen/exists in the current project root. -
Delegate the analysis via Agent tool:
subagent_type: agentskill-kaizen:transcript-analyst prompt: "Analyze transcripts at {path}. Dimensions: {dimensions}. Write findings to .planning/kaizen/analysis-{date}.md"The agent has access to DuckDB MCP for SQL queries and the custom kaizen MCP for process mining. Let it choose its own analysis approach.
-
Report results. After the agent completes, summarize:
- Number of sessions analyzed
- Number of findings by severity
- Path to the analysis report file
Output
Analysis report written to .planning/kaizen/analysis-{YYYY-MM-DD}.md with structured findings including session IDs, severity, evidence, and improvement recommendations.
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.
- 2mo ago First seen · 45 lines · 10 tokens per session scan A 5a367d60aba2
analyze is a command published in the GitHub repository Jamie-BitFlight/claude_skills (67 stars, last pushed 19d ago), licensed MIT. It adds 10 tokens to every session and 445 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 2026-09-03.
analyze compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| analyzeJamie-BitFlight/claude_skills | Command | 67 | 19d ago | MIT | A | 10 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |