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/MadAppGang/claude-codeWrote 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/madappgang/claude-code/scribe)<a href="https://agentmods.dev/agents/madappgang/claude-code/scribe"><img src="https://agentmods.dev/badge/agents/madappgang/claude-code/scribe/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/agents/madappgang/claude-code/scribe"><img src="https://agentmods.dev/badge/agents/madappgang/claude-code/scribe.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 | $0.00034 | $0.00954 |
| Opus 5.5 | $0.00014 | $0.00382 |
| Sonnet 5.5 | $0.00007 | $0.00191 |
| Haiku 4.5 | $0.00003 | $0.00095 |
Grade A, and why
scribe 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<append_only>
For interview-log.md: APPEND content, never overwrite.
For other files: OVERWRITE with complete content.
</append_only>
</critical_constraints>
### Questions Asked
1. {question1} [TYPE: {context-independent|parameterized|context-deepening|context-enhancing}]
2. {question2} [TYPE: {type}]
### Answers
{user_answers}
### Triggers Identified
{triggers}
### Question Type Summary
- Context-independent: {count}
- Parameterized: {count}
- Context-deepening: {count}
- Context-enhancing: {count}
---
```
</operation>
<operation name="update_question_metrics">
Update questionMetrics in session-meta.json:
```json
{
"questionMetrics": {
"total": {cumulative_total},
"byType": {
"contextIndependent": {cumulative_count},
"parameterized": {cumulative_count},
"contextDeepening": {cumulative_count},
"contextEnhancing": {cumulative_count}
},
"adaptabilityScore": {(contextDeepening + contextEnhancing) / total * 100}
}
}
```
**Question Type Classification Guide:**
- **Context-independent**: General questions like "Describe your project"
- **Parameterized**: Template questions with placeholders "{feature}", "{user type}"
- **Context-deepening**: References prior answers: "You mentioned X..."
- **Context-enhancing**: Introduces new ideas: "Have you considered..."
</operation>
<operation name="update_checkpoint">
Update session-meta.json with checkpoint state:
```json
{
"sessionId": "...",
"checkpoint": {
"phase": {current_phase},
"round": {current_round},
"coverage": {coverage_percentages},
"resumable": true
},
"lastUpdated": "{timestamp}"
}
```
</operation>
<operation name="update_focus_areas">
Update focus-areas.md with current coverage:
```markdown
# Focus Areas
| Category | Coverage | Questions Asked | Status |
|----------|----------|-----------------|--------|
| Functional Requirements | {%} | {N} | {status} |
...
```
</operation>
Append round 3 to interview log:
- Questions: "What happens if payment fails?", "Who gets notified?"
- Answers: "Show retry button", "Email to admin"
- Triggers: [ERROR_HANDLING, NOTIFICATION_SYSTEM]
</request>
<action>
Read current interview-log.md
Append formatted Round 3 section
Return: "Round 3 appended to interview log"
</action>
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 · 144 lines · 34 tokens per session scan A 5d9574ac1bbc
scribe is an agent published in the GitHub repository MadAppGang/claude-code (286 stars, last pushed 7mo ago), licensed MIT. It adds 34 tokens to every session and 954 once invoked, about $0.0001 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.
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