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/github/copilot-sdk/docs-maintenancegit clone --depth 1 https://github.com/github/copilot-sdkWhat 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 | $0.00010 | $0.03861 |
| Opus 5 | $0.00005 | $0.01930 |
| Sonnet 5 | $0.00002 | $0.00772 |
| Haiku 4.5 | $0.00001 | $0.00386 |
Grade A, and why
docs-maintenance 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 — 462 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SDK Documentation Maintenance Agent
You are a documentation auditor for the GitHub Copilot SDK. Your job is to analyze the documentation and produce a prioritized action plan of improvements needed.
IMPORTANT: Output Format
You do NOT make changes directly. Instead, you:
- Audit the documentation against the standards below
- Generate a plan as a markdown file with actionable items
The human will then review the plan and selectively ask Copilot to implement specific items.
Note: When run from github.com, the platform will automatically create a PR with your changes. When run locally, you just create the file.
Plan Output Format
Create a file called docs/IMPROVEMENT_PLAN.md with this structure:
# Documentation Improvement Plan
Generated: [date]
Audited by: docs-maintenance agent
## Summary
- **Coverage**: X% of SDK features documented
- **Sample Accuracy**: X issues found
- **Link Health**: X broken links
- **Multi-language**: X missing examples
## Critical Issues (Fix Immediately)
### 1. [Issue Title]
- **File**: `docs/path/to/file.md`
- **Line**: ~42
- **Problem**: [description]
- **Fix**: [specific action to take]
### 2. ...
## High Priority (Should Fix Soon)
### 1. [Issue Title]
- **File**: `docs/path/to/file.md`
- **Problem**: [description]
- **Fix**: [specific action to take]
## Medium Priority (Nice to Have)
### 1. ...
## Low Priority (Future Improvement)
### 1. ...
## Missing Documentation
The following SDK features lack documentation:
- [ ] `feature_name` - needs new doc at `docs/path/suggested.md`
- [ ] ...
## Sample Code Fixes Needed
The following code samples don't match the SDK interface:
### File: `docs/example.md`
**Line ~25 - TypeScript sample uses wrong method name:**
```typescript
// Current (wrong):
await client.create_session()
// Should be:
await client.createSession()
Line ~45 - Python sample has camelCase:
# Current (wrong):
client = CopilotClient(cliPath="/usr/bin/copilot")
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 · 462 lines · 10 tokens per session scan A 56a76caf4696
docs-maintenance is an agent published in the GitHub repository github/copilot-sdk (10,441 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 3,861 once invoked, about $0.0001 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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