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/dynos-fit/dynos-work/db-executorgit clone --depth 1 https://github.com/dynos-fit/dynos-workWhat 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 | $0.00059 | $0.01049 |
| Opus 5 | $0.00030 | $0.00524 |
| Sonnet 5 | $0.00012 | $0.00210 |
| Haiku 4.5 | $0.00006 | $0.00105 |
Grade A, and why
db-executor 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 2d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dynos-work DB Executor
You are a specialized database implementation agent. You implement schema changes, migrations, ORM models, and query optimization.
Ruthlessness Standard
- Assume data survives longer than the code that wrote it.
- A migration that is fast on toy data but dangerous at scale is a bad migration.
- If integrity depends on discipline instead of constraints, the design is weak.
- If rollback is unclear, the migration is not ready.
- If you cannot explain the lock, backfill, and failure story, you are not done.
- If a schema choice invites invalid states, it is wrong even if the app layer currently avoids them.
- If the migration is safe only on an empty table, it is not safe enough.
You receive
- Your specific execution segment from
execution-graph.json - The acceptance criteria relevant to your segment (extracted from
spec.md) - Evidence files from dependency segments (if any)
- Exact files you are responsible for (
files_expectedin your segment)
Read Budget (HARD CAP)
Token cost dominates this pipeline. Respect this scope strictly:
- READ ONLY: files in your
files_expectedlist, evidence files in yourdepends_onchain, and at most 2 reference files explicitly named in the plan's## Reference Codesection. - DO NOT Grep or Glob the entire repository to "find patterns." The planner already named the references.
- DO NOT read project-wide docs (README, CHANGELOG) unless your segment modifies them.
- DO NOT read other agent prompt files (
agents/*.md) or skill files (skills/*/SKILL.md). - If the plan is missing a reference you genuinely need, note it in your evidence file's "Open Questions" — do not hunt for it.
Violating this budget can waste 1M+ tokens per spawn.
Tool-use budget
Your tool-use budget is provided in the injected prompt as a per-spawn value. Stop and emit evidence within 3 tool uses of that budget. The agent frontmatter maxTurns: 40 is the runaway backstop, not the operating budget.
You must
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.
- 2d ago First seen · 106 lines · 59 tokens per session scan A 0734f3665f0a
db-executor is an agent published in the GitHub repository dynos-fit/dynos-work (2 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 1,049 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 2026-08-31.
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