Attention Span
Make your agents talk human. ADHD-friendly output styles for Claude Code, Codex, and others. So you can pay attention, not tokens.
Is Attention Span safe? Thin or incomplete trust evidence. Review carefully before production use.
Compare Attention Span
How does it stack up against its Agent Skills neighbours?
Pick any agent to compare →In detail: Attention Span scores 19.6/100 (Grade D), ranked #382 of 385 tracked open-source AI agent projects, on evidence coverage D (1 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; 7% of recent commits are signed; last pushed 2026-10-12. Every point is earned from checkable signals — never paid placement. How scoring works →
How Attention Span could raise its score
Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.
- Raise the OSSF Scorecard to 9.0no OSSF Scorecard result yet +38.6 → 58.2 C · #127 of 385
- Sign every commit7% signed today +2.3 → 21.9 D · #375 of 385
Chain of custody
Scanners check what the code says. This traces who ships Attention Span and whether that has changed: from the source repository, through how changes are reviewed and released, to the code you run. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities and, for skills, AST02 Supply Chain Compromise.
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Source Partly signed
github.com/alexgreensh/attention-span, AGPL-3.0, last pushed 2026-10-12. 7% of the last 100 commits carry a verified signature; the rest can't be tied to a verified identity.
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Review and release Not checked
No OpenSSF Scorecard result yet, so branch protection, code review and release signing are unverified.
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Published packages None
No registry package. Attention Span is used from its repository, so what you run is whatever you check out: pin a release tag or commit.
Changes to this chain
No change to package provenance, package source links, Scorecard coverage or license in HVTracker's daily snapshots of Attention Span.
Evidence behind this score
Coverage D: 1 of 5 independent evidence types found.
- GitHub repository data
- Package downloads (missing)
- Supply-chain checks (missing)
- Public actions (missing)
- Community mentions (missing)
Verify this score yourself
Every build re-issues Attention Span’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.
What this score doesn’t check
It covers who ships the code, not what the code does. It doesn’t read the skill’s instructions for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you install it, such as Cisco Skill Scanner.
How Attention Span compares in Agent Skills
- #380 fluent-korean 19.9 +0.3
- #381 Vox Director 19.6 ±0
- #382 Attention Span 19.6 this agent
- #383 Writing DNA Skill 19.0 −0.6
- #384 Mono Color Skill 18.4 −1.2
Bars show each HVTrust score; the tick marks Attention Span’s 19.6.
Where the 19.6 comes from
HVTrust dimensions vs the Agent Skills average
19.6 / 100 · 50.0% confidenceAttention Span Agent Skills average (385 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage D is separate — it grades how many independent signal types back the score (1 of 5), so a high score on thin evidence stays visible. Full methodology →
Activity & Reach
Analysis
Activity Inputs
55.5 / 100Common questions about Attention Span
Does Attention Span publish package provenance?
Does Attention Span have an OpenSSF Scorecard?
Is Attention Span actively maintained?
What license does Attention Span use?
Are Attention Span's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Maintain Attention Span?
For maintainers
HVTrust scores Attention Span from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/attention-span)
<a href="https://hvtracker.net/agents/attention-span"><img src="https://hvtracker.net/badge/attention-span.svg" alt="HVTrust"></a>
Other agents in Agent Skills
GitHub REST API (repo, commits, stars, forks, license)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON