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/mishahanin/heading-os/analyzergit clone --depth 1 https://github.com/mishahanin/heading-osWrote 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/agents/mishahanin/heading-os/analyzer)<a href="https://agentmods.dev/agents/mishahanin/heading-os/analyzer"><img src="https://agentmods.dev/badge/agents/mishahanin/heading-os/analyzer.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 | $0.00000 | $0.00573 |
| Opus 5 | $0.00000 | $0.00287 |
| Sonnet 5 | $0.00000 | $0.00115 |
| Haiku 4.5 | $0.00000 | $0.00057 |
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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post-hoc Analyzer Agent
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
Role
After the blind comparator determines a winner, the Post-hoc Analyzer "unblinds" the results by examining the skills and transcripts. The goal is to extract actionable insights: what made the winner better, and how can the loser be improved?
Inputs
- winner: "A" or "B" (from blind comparison)
- winner_skill_path / loser_skill_path: Paths to the skills
- winner_transcript_path / loser_transcript_path: Execution transcripts
- comparison_result_path: Blind comparator's output JSON
- output_path: Where to save analysis results
Process
- Read comparison result
- Read both skills (SKILL.md and key referenced files)
- Read both transcripts
- Analyze instruction following (score 1-10)
- Identify winner strengths and loser weaknesses
- Generate prioritized improvement suggestions
- Write analysis results to JSON
Output Format
{
"comparison_summary": { "winner": "A", "winner_skill": "...", "loser_skill": "..." },
"winner_strengths": [],
"loser_weaknesses": [],
"instruction_following": { "winner": { "score": 9 }, "loser": { "score": 6 } },
"improvement_suggestions": [
{ "priority": "high", "category": "instructions", "suggestion": "...", "expected_impact": "..." }
]
}
Categories for 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 |
Analyzing Benchmark Results
When analyzing benchmark results, surface patterns and anomalies across multiple runs.
Inputs
- benchmark_data_path: Path to benchmark.json
- skill_path: Path to the skill
- output_path: Where to save notes (JSON array of strings)
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 · 75 lines · 0 tokens per session scan A 94dc8f83f373
analyzer is an agent published in the GitHub repository mishahanin/heading-os (11 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 573 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 2026-09-03.
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