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 jamestorrevillas/dev-skills --skill side-project-planninggit clone --depth 1 https://github.com/jamestorrevillas/dev-skillsWrote 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/jamestorrevillas/dev-skills/side-project-planning)<a href="https://agentmods.dev/skills/jamestorrevillas/dev-skills/side-project-planning"><img src="https://agentmods.dev/badge/skills/jamestorrevillas/dev-skills/side-project-planning/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/jamestorrevillas/dev-skills/side-project-planning"><img src="https://agentmods.dev/badge/skills/jamestorrevillas/dev-skills/side-project-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00067 | $0.00781 |
| Opus 5 | $0.00034 | $0.00391 |
| Sonnet 5 | $0.00013 | $0.00156 |
| Haiku 4.5 | $0.00007 | $0.00078 |
Grade A, and why
side-project-planning 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 9d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Side Project Planning
The MVP Mindset
Build the smallest thing that proves the core assumption.
Most side projects fail not because of bad execution but because of unvalidated assumptions. The goal of an MVP is to test the riskiest assumption with the least effort.
Idea Validation Framework
Before writing a line of code:
1. PROBLEM: Is this a real problem people have?
- Talk to 5 potential users — do they describe this problem unprompted?
2. SOLUTION FIT: Does your solution actually solve it?
- Can you describe it in one sentence they immediately understand?
3. WILLINGNESS TO PAY: Will people pay for it?
- "Would you pay $X/month for this?" is very different from "Would you use this?"
4. DIFFERENTIATION: Why this, not the existing alternatives?
- What's 10x better than what exists?
5. REACHABILITY: Can you reach the target users?
- Do you know where they are? Reddit, Slack, conferences, Twitter?
MVP Scoping Rules
For each feature, ask:
- Is this required for the core value proposition? If no → cut it
- Can this be manual/fake before automating? If yes → fake it first
- Does the user notice if this isn't perfect? If no → ship it rough
The Concierge MVP
Before building the full system, manually do what the software would do:
- Validate demand before automating
- Understand the real workflow before encoding it
- Much faster to iterate on a manual process
Monetization Models for Developer Tools/AI
| Model | Best When | Risk |
|---|---|---|
| Freemium | High volume, viral potential | Need large base for conversion |
| Subscription | Recurring value, ongoing use | Churn management |
| Usage-based | Variable usage patterns | Revenue unpredictability |
| One-time | Simple tools, no ongoing cost | No recurring revenue |
| B2B SaaS | Enterprise buyers, high value | Long sales cycles |
Build vs Buy Decision
Build when:
- This is your core differentiator
- No existing solution fits well enough
- Building it teaches you something critical
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.
- 9d ago First seen · 98 lines · 0 tokens per session scan A 6d60cc205de7
side-project-planning is a skill published in the GitHub repository jamestorrevillas/dev-skills (3 stars, last pushed 5mo ago), licensed MIT. It adds 67 tokens to every session and 781 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.
Other skills, from other repositories
rework-rate
Measure and interpret PR rework rate — the emerging 5th DORA metric.
go-dependency-audit
Go dependency audit specialist for CVE scanning (govulncheck), license risk triage, outdated dependency detection, upgrade impact analysis, and supply chain security. ALWAYS use when auditing go.mod dependencies, running govulncheck, checking license compatibility, planning dependency upgrades, or investigating supply…
pg-migration
PostgreSQL schema migration safety reviewer and DDL generator. ALWAYS use when writing, reviewing, or planning PostgreSQL schema changes — ALTER TABLE, CREATE/DROP INDEX, column type changes, constraint additions, RLS policy changes, or any DDL touching production tables. Covers lock-level analysis, CREATE INDEX…
api-integration-test
Create, maintain, and run gated Go integration tests for internal APIs and service-to-service clients (HTTP/gRPC). Use for endpoint verification, contract checks with real runtime config, opt-in execution, timeout/retry safety, and integration failure triage in Go services.
go-benchmark
Go performance benchmarking and pprof profiling specialist. ALWAYS use when writing benchmark functions (testing.B), generating or reading pprof profiles, interpreting flame graphs, finding memory allocation hotspots, comparing implementations with benchstat, or measuring ns/op / B/op / allocs/op. In Go code contexts…
create-pr
Create evidence-backed pull requests to the GitHub main branch with strict preflight, quality, and security gates. Use when users ask to create/submit/open/update a PR to main (including private repos), decide draft vs ready state, and provide reviewer-ready context for team review.