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 skills add Firstp1ck/pi-coding-agent-forge --skill dolt-database-version-controlgit clone --depth 1 https://github.com/Firstp1ck/pi-coding-agent-forgeWrote 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/firstp1ck/pi-coding-agent-forge/dolt-database-version-control)<a href="https://agentmods.dev/skills/firstp1ck/pi-coding-agent-forge/dolt-database-version-control"><img src="https://agentmods.dev/badge/skills/firstp1ck/pi-coding-agent-forge/dolt-database-version-control/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/firstp1ck/pi-coding-agent-forge/dolt-database-version-control"><img src="https://agentmods.dev/badge/skills/firstp1ck/pi-coding-agent-forge/dolt-database-version-control.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 | $0.00053 | $0.01801 |
| Opus 5.5 | $0.00021 | $0.00720 |
| Sonnet 5.5 | $0.00011 | $0.00360 |
| Haiku 4.5 | $0.00005 | $0.00180 |
Grade A, and why
dolt-database-version-control 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dolt Database Version Control
Use this skill to decide how, when, why, and where to use Dolt, and to produce safe adoption plans for Dolt-backed systems.
When to use
Use this skill when the user asks about any of the following:
- Dolt, DoltHub, Hosted Dolt, DoltLab, DoltgreSQL/Doltgres, or "Git for data".
- Version-controlling relational data with branches, commits, diffs, merges, remotes, or pull-request-like workflows.
- Adding audit history, rollback, review-before-publish, or branch-per-user changes to an application database.
- Creating a versioned MySQL or MariaDB replica for queryable history, disaster recovery, debugging, or change-data-capture-like workflows.
- Comparing Dolt against Git+CSV, temporal tables, soft deletes, slowly changing dimensions, CDC pipelines, event sourcing, plain MySQL, or Postgres.
- Designing commands, SQL procedures, or rollout checks for a Dolt proof of concept.
Do not use this skill for generic Git, generic SQL, or generic MySQL/Postgres administration unless Dolt or database version control is materially involved.
Inputs and assumptions
Before recommending Dolt, identify:
- The current database engine, SQL dialect, schema size, write/read throughput, data sensitivity, and deployment topology.
- Whether the goal is application-primary storage, collaborative dataset management, audit/disaster recovery, local agent memory, or a versioned replica beside an existing database.
- Whether MySQL-compatible clients are acceptable. If Postgres compatibility is mandatory, treat Doltgres/DoltgreSQL as a separate maturity decision and verify current status from official sources.
- Whether immutable history conflicts with retention, privacy, right-to-erasure, or secret-handling requirements.
- Whether users need branch/merge conflict resolution and who will review or resolve conflicts.
Use references/dolt-guide.md as the packaged baseline. For current versions, installation commands, hosted offerings, maturity labels, or production claims, verify against official Dolt docs or the DoltHub GitHub repositories before finalizing.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 127 lines · 53 tokens per session scan A 43edecacd4bc
dolt-database-version-control is a skill published in the GitHub repository Firstp1ck/pi-coding-agent-forge (91 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 1,801 once invoked, about $0.0002 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 2026-08-30.
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