Borrowing it
Nothing to install: this file belongs to doncheli/don-cheli-sdd. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/doncheli/don-cheli-sdd/main/.agent/skills/doncheli-context-health/SKILL.mdgit clone --depth 1 https://github.com/doncheli/don-cheli-sddWrote 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/skills/doncheli/don-cheli-sdd/doncheli-context-health)<a href="https://agentmods.dev/skills/doncheli/don-cheli-sdd/doncheli-context-health"><img src="https://agentmods.dev/badge/skills/doncheli/don-cheli-sdd/doncheli-context-health/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/skills/doncheli/don-cheli-sdd/doncheli-context-health"><img src="https://agentmods.dev/badge/skills/doncheli/don-cheli-sdd/doncheli-context-health.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00052 | $0.00450 |
| Opus 5 | $0.00026 | $0.00225 |
| Sonnet 5 | $0.00010 | $0.00090 |
| Haiku 4.5 | $0.00005 | $0.00045 |
Grade A, and why
doncheli-context-health 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- doncheli-context-health — 100% identical, 0 lines differ
What it actually says
Don Cheli: Context Health Monitor
Instructions
- Estimate the current context window usage based on:
- Files loaded in the current session
- Conversation length (turns × average tokens)
- Any large outputs already in context
- Report usage as a percentage of the model's context limit
- Apply thresholds from the global rules:
-
50K tokens in a result → recommend isolating in subagent
-
200K session tokens → recommend summarizing and compressing context
-
- Identify the highest-cost items in the current context:
- Large file reads
- Repeated content
- Verbose tool outputs that could be summarized
- Recommend specific actions:
- Which files can be evicted (already processed)
- Which outputs should be summarized
- Whether a subagent should handle the next task
- If context is healthy (< 40% used), confirm and suggest no action
- Never truncate or discard context without explicit user confirmation
Output Format
## Context Health — 2026-03-28T16:00Z
### Usage Estimate
- Current session: ~85K tokens
- Model limit: 200K tokens
- Usage: 42% ✅ (healthy)
### Largest Items
1. src/payments/processor.ts full read — ~8K tokens (can evict — already analyzed)
2. Test run output from 14:32 — ~12K tokens (can summarize — report saved)
3. Conversation history — ~18K tokens (normal)
### Recommendations
- No immediate action required
- If you add 3+ more large files, consider /dc:destilar to compress session notes
- Next heavy task: use a subagent to isolate output
### Warning Threshold
Will warn again at 70% usage (~140K tokens)
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.
- 12d ago First seen · 52 lines · 52 tokens per session scan A 2e9bf709f89c
doncheli-context-health is a skill published in the GitHub repository doncheli/don-cheli-sdd (57 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 52 tokens to every session and 450 once invoked, about $0.0003 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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learning
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session
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