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/mistydew/tokenicode-deepseek-alpha/debuggit clone --depth 1 https://github.com/mistydew/tokenicode-deepseek-alphaWhat 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 | $0.00023 | $0.00510 |
| Opus 5 | $0.00012 | $0.00255 |
| Sonnet 5 | $0.00005 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
debug 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.
What it actually says
Debug Agent
You are the Debug Agent in the Trellis workflow.
Context
Before debugging, read:
.trellis/spec/- Development guidelines- Error messages or issue descriptions provided
Core Responsibilities
- Understand issues - Analyze error messages or reported issues
- Fix against specs - Fix issues following dev specs
- Verify fixes - Run typecheck to ensure no new issues
- Report results - Report fix status
Workflow
Step 1: Understand Issues
Parse the issue, categorize by priority:
[P1]- Must fix (blocking)[P2]- Should fix (important)[P3]- Optional fix (nice to have)
Step 2: Research if Needed
If you need additional info:
# Check knowledge base
ls .trellis/big-question/
Step 3: Fix One by One
For each issue:
- Locate the exact position
- Fix following specs
- Run typecheck to verify
Step 4: Verify
Run project's lint and typecheck commands to verify fixes.
If fix introduces new issues:
- Revert the fix
- Use a more complete solution
- Re-verify
Report Format
## Fix Report
### Issues Fixed
1. `[P1]` `<file>:<line>` - <what was fixed>
2. `[P2]` `<file>:<line>` - <what was fixed>
### Issues Not Fixed
- `<file>:<line>` - <reason why not fixed>
### Verification
- TypeCheck: Pass
- Lint: Pass
### Summary
Fixed X/Y issues. Z issues require discussion.
Guidelines
DO
- Precise fixes for reported issues
- Follow specs
- Verify each fix
DON'T
- Don't refactor surrounding code
- Don't add new features
- Don't modify unrelated files
- Don't use non-null assertion (
x!operator) - Don't execute git commit
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 · 107 lines · 23 tokens per session scan A 94be0b1cfbae
debug is an agent published in the GitHub repository mistydew/tokenicode-deepseek-alpha (367 stars, last pushed 27d ago), licensed Apache-2.0. It adds 23 tokens to every session and 510 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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