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 thienanblog/awesome-ai-agent-skills --skill project-development-mindsetgit clone --depth 1 https://github.com/thienanblog/awesome-ai-agent-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/thienanblog/awesome-ai-agent-skills/project-development-mindset)<a href="https://agentmods.dev/skills/thienanblog/awesome-ai-agent-skills/project-development-mindset"><img src="https://agentmods.dev/badge/skills/thienanblog/awesome-ai-agent-skills/project-development-mindset/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/thienanblog/awesome-ai-agent-skills/project-development-mindset"><img src="https://agentmods.dev/badge/skills/thienanblog/awesome-ai-agent-skills/project-development-mindset.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
SkillSpector: 1 finding, up to low
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- low Excessive Agency · line 20 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00076 | $0.02819 |
| Opus 5 | $0.00038 | $0.01409 |
| Sonnet 5 | $0.00015 | $0.00564 |
| Haiku 4.5 | $0.00008 | $0.00282 |
Grade A, and why
project-development-mindset 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 11d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Development Mindset
Use this skill as an adaptive baseline, not mandatory ceremony. Apply only the guidance relevant to the task. Scale discovery, planning, implementation, and verification to the task's impact, uncertainty, and reversibility.
Precedence And Adaptation
- Follow system instructions, the user's current request, and applicable project instructions before this general guidance.
- Treat repository conventions as evidence of project intent, not as rules to copy blindly when they conflict with correctness, security, maintainability, or a more authoritative instruction.
- Start with this coordinator instead of preloading every possibly relevant specialist. After initial orientation, load at most one specialist for the current primary concern. Keep this skill only as the cross-cutting baseline, and switch specialists rather than stacking workflows when the primary concern changes.
- Apply routine gates implicitly for small, local work. Do not turn them into user-facing ceremony unless a decision or risk needs discussion.
- Preserve unrelated user changes and existing work. Do not clean up, revert, or broaden scope merely because nearby code could be improved.
- Run in the main conversation by default. Before spawning any subagent, agent team, or delegated worker, explain that delegation can increase usage and ask the user to approve the proposed agent count and scope. Ask again before expanding an approved scope.
Core Outcomes
Aim for all of the following:
- Understand the project context that materially affects the requested behavior.
- Define what success means before making a substantial change.
- Implement the smallest coherent change that fully solves the task.
- Reuse existing project surfaces when their semantics and boundaries fit.
- Verify behavior with evidence proportionate to the likely failure cost.
- Keep durable sources of truth aligned when the change materially affects them.
- Stop when the requested outcome works, relevant checks pass, and no concrete requirement or observed risk justifies more work.
What ships with it
3 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.
- 11d ago First seen · 200 lines · 76 tokens per session scan A b8cf615b6737
project-development-mindset is a skill published in the GitHub repository thienanblog/awesome-ai-agent-skills (65 stars, last pushed 13d ago), licensed Apache-2.0. It adds 76 tokens to every session and 2,819 once invoked, about $0.0004 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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