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/sequenzia/agent-alchemy/codebase-analysisnpx skills add sequenzia/agent-alchemy --skill codebase-analysisgit clone --depth 1 https://github.com/sequenzia/agent-alchemyWhat 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 | $0.00093 | $0.03228 |
| Opus 5 | $0.00046 | $0.01614 |
| Sonnet 5 | $0.00019 | $0.00646 |
| Haiku 4.5 | $0.00009 | $0.00323 |
Grade A, and why
codebase-analysis 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 2d 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 — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codebase Analysis Workflow
Execute a structured 3-phase codebase analysis workflow to gather insights.
CRITICAL: Complete ALL 3 phases. The workflow is not complete until Phase 3: Post-Analysis Actions is finished. After completing each phase, immediately proceed to the next phase without waiting for user prompts.
Phase Overview
- Deep Analysis — Explore and synthesize codebase findings via deep-analysis skill
- Reporting — Present structured analysis to the user
- Post-Analysis Actions — Save, document, or retain analysis insights
Phase 1: Deep Analysis
Goal: Explore the codebase and synthesize findings.
-
Determine analysis context:
- If
$ARGUMENTSis provided, use it as the analysis context - If no arguments, set context to "general codebase understanding"
- If
-
Check for cached results:
- Check if
.claude/sessions/exploration-cache/manifest.mdexists - If found, read the manifest and verify:
codebase_pathmatches the current working directory, andtimestampis within the configured cache TTL (default 24 hours) - If cache is valid, use
AskUserQuestion:- Use cached results (show the formatted cache date) — Read cached synthesis from
.claude/sessions/exploration-cache/synthesis.mdand recon fromrecon_summary.md. SetCACHE_HIT = trueandCACHE_TIMESTAMPto the cache's timestamp. Skip step 3 and proceed directly to step 4. - Run fresh analysis — Remove the cache manifest file, set
CACHE_HIT = false, and proceed to step 3
- Use cached results (show the formatted cache date) — Read cached synthesis from
- If no valid cache: set
CACHE_HIT = falseand proceed to step 3
- Check if
-
Run deep-analysis workflow:
- Read
${CLAUDE_PLUGIN_ROOT}/skills/deep-analysis/SKILL.mdand follow its workflow - Pass the analysis context from step 1
- This handles reconnaissance, team planning, approval (auto-approved when skill-invoked), team creation, parallel exploration (code-explorer agents), and synthesis (code-synthesizer agent)
- After completion, set
CACHE_TIMESTAMP = null(fresh results, no prior cache)
- Read
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.
- 2d ago First seen · 277 lines · 93 tokens per session scan A 193dfe501a3a
codebase-analysis is a skill published in the GitHub repository sequenzia/agent-alchemy (43 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 3,228 once invoked, about $0.0005 per session on Opus 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 2026-08-30.
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