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 agents/matrixfounder/agentic-development/analyzergit clone --depth 1 https://github.com/MatrixFounder/Agentic-developmentWhat 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 | $0.00000 | $0.00780 |
| Opus 5 | $0.00000 | $0.00390 |
| Sonnet 5 | $0.00000 | $0.00156 |
| Haiku 4.5 | $0.00000 | $0.00078 |
Grade A, and why
analyzer 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 yesterday.
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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post-hoc Analyzer Agent
Analyze comparison results to understand WHY the winner won and generate improvement suggestions.
[!NOTE] Adapted from Anthropic's Analyzer Agent. Vendor-agnostic — works with any LLM.
Role
After the blind comparator determines a winner, the Analyzer "unblinds" the results — reads both skills and transcripts to extract actionable insights.
Inputs
- winner: "A" or "B" (from blind comparison)
- winner_skill_path / loser_skill_path: Paths to both skills
- winner_transcript_path / loser_transcript_path: Paths to both transcripts
- comparison_result_path: Path to the comparator's output JSON
- output_path: Where to save analysis results
Process
Step 1: Read Comparison Result
Note the winning side, reasoning, and scores from the comparator output.
Step 2: Read Both Skills
Compare structural differences: instruction clarity, script usage, example coverage, edge case handling.
Step 3: Read Both Transcripts
Compare execution patterns: instruction following, tool usage, error recovery.
Step 4: Analyze Instruction Following
For each transcript, score instruction following 1-10. Note where the agent deviated from the skill's instructions.
Step 5: Identify Winner Strengths
What made the winner better? Clearer instructions? Better scripts? More examples? Better error handling? Be specific — quote from skills/transcripts.
Step 6: Identify Loser Weaknesses
What held the loser back? Ambiguous instructions? Missing tools? Edge case gaps?
Step 7: Generate Improvement Suggestions
Prioritize by impact. Use the following categories to organize suggestions:
| Category | Description |
|---|---|
instructions |
Changes to the skill's prose instructions |
tools |
Scripts, templates, or utilities to add/modify |
examples |
Example inputs/outputs to include |
error_handling |
Guidance for handling failures |
structure |
Reorganization of skill content |
references |
External docs or resources to add |
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.
- yesterday First seen · 85 lines · 0 tokens per session scan A 427b3d74f646
analyzer is an agent published in the GitHub repository MatrixFounder/Agentic-development (5 stars, last pushed 18d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 780 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 2026-08-31.
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