Project Credibility Review
SkillDev toolsEvaluate a startup/open-source project or AI product by
Available today. Use it from your connected AI after setup.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Project Credibility Review skill
What this skill tells your AI
The instructions your AI receives, as published by argentaios/argentos-core in skills/hermes/research/project-credibility-review/SKILL.md and read by ahel’s review.
Use this workflow to review a project/product credibly instead of judging only from marketing copy.
Workflow
-
Open the website first.
- Capture the positioning, target user, primary claims, CTAs, trust signals, and conversion path.
- If visual/design quality matters, use browser_vision for a founder/product critique.
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Follow and verify external proof links.
- Check GitHub, docs, demos, marketplace, Discord/community, blog, changelog, or install links.
- Do not assume the first repository found is the canonical one. Websites may link to placeholder repos, moved repos, or alternate branch names.
- If the user provides a second repo/link, treat it as potentially more authoritative and re-evaluate rather than defending the first conclusion.
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For GitHub repos, inspect evidence of real implementation.
- Stars, forks, issues, default branch, active branch, branch/tag counts, latest commit, commit count, CI status, license, language, repo size.
- Directory structure: src, tests, docs, apps, packages, scripts, configs, installers, workflows.
- README, package.json/pyproject/Cargo.toml/etc., changelog, contributing guide, architecture docs.
- Branch divergence: a dev branch far ahead of main often means momentum but possible instability.
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Compare claims against artifacts.
- If the site says open source, confirm source is actually public, not only a holder repo.
- If it claims local/private/security, look for architecture, secrets handling, auth, install docs, and threat model/security docs.
- If it claims integrations/connectors, verify code directories or manifests exist.
- If it claims maturity, look for releases, tests, CI, docs, and install path.
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Separate conclusions by confidence.
- "What is clearly true from public evidence"
- "What looks promising"
- "What remains unproven"
- "Main risks/concerns"
- "What I would test next"
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Be willing to revise.
- If new evidence appears, explicitly update the assessment.
- Example: a placeholder repo may make a product look vaporous, but a separate real repo with active commits and substantial source should materially improve the evaluation.
Pitfalls
- Do not over-index on polished landing pages; inspect implementation evidence.
- Do not dismiss a project solely because one linked repo is a placeholder; search or use user-provided canonical repo links.
- Avoid absolute claims like "vaporware" or "production-ready" without running the software or inspecting enough artifacts.
- Marketing language such as "consciousness," "presence," or "self-directed mind" may be brand positioning; judge it separately from implementation depth.
Output Template
Short verdict:
- One sentence summary.
Evidence checked:
- Website: ...
- Repo/docs: ...
- Activity: ...
Strengths:
- ...
Concerns:
- ...
What changed my view, if applicable:
- ...
Next due-diligence steps:
- Inspect install scripts.
- Check CI/release status.
- Run locally in a clean environment.
- Test one end-to-end workflow.
- Review security posture around secrets, local services, permissions, and autonomous actions.
Signals
- GitHub stars
- 126
- Forks
- 22
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
community-project-credibility-review- Source
- github.com/argentaios/argentos-core