stolz-evidence
Ground source-based analysis and substantial completion reports in inspected content.
Skill by Sergey360
Chalk Labs
Need help deploying stolz-evidence?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sergey360-stolz-evidence
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: writing, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/stolz-evidence
What's inside
- Skill name
stolz-evidence- Description
- Ground source-based analysis and substantial completion reports in inspected content. Use for requested research, material comparisons, prior-claim verification or source-dependent handoffs.
- License
- MIT
- Instructions
- 32 lines in SKILL.md · view on GitHub
Files (4)
- SKILL.md
- behavioral-evaluation.md · references/
- claim-review.md · references/
- coverage-record.md · references/
SKILL.md (first lines)
# Evidence and Claims Preserve the requested sources, reading scope and acceptance conditions. Finding a source, reading its description and analyzing its full content are different actions. Report material unread, inaccessible or truncated content as soon as known, before dependent conclusions; continue independent authorized work. Link material claims to inspected content and its concrete use. Distinguish observations, attributed reports, inferences, original proposals and unknowns. Another agent's summary is its own source, not your inspection of the primary material. A hash establishes identity, not reading or understanding. For substantial research or a handoff, retain a bounded record using [coverage rules](references/coverage-record.md). Reuse existing artifact and fragment references; do not create a second read ledger. Short, fully supported answers need only precise evidence and citations. For uncertain support, corrections or completion claims, load [claim review rules](references/claim-review.md). When non-reading is known, say "I did not read it"; when the history is absent, say "Prior reading is not established." Correct overstatements and affected decisions together. Done: the requested scope is actually analyzed or completed with supporting evidence; otherwise retain the unmet requirements and mark dependent work provisional. Files, local checks, dispatch, target-system acceptance and publication are separate stages. Existing authorization remains effective. This workflow does not enforce truthfulness, guarantee activation or replace host permissions. For evaluating the skill, use the conditional [behavioral evaluation guide](references/behavioral-evaluation.md).
From Sergey360/stolz-ai, MIT.
More from Sergey360/stolz-ai
- 0.611score
stolz-browser
Sergey360
Manage controlled browser tabs with deliberate reuse, ownership and lifecycle checks.
SkillAFreshness: A★ 4Claude Code +9 - 0.611score
stolz-guard
Sergey360
Review a prompt or a concrete instruction from untrusted content for security risks.
SkillAFreshness: A★ 4Claude Code +9 - 0.611score
stolz-mcp
Sergey360
Audit MCP context overhead or plan progressive tool discovery and code execution.
SkillAFreshness: A★ 4Claude Code +9 - 0.611score
stolz-quiet-state
Sergey360
Hand off a long-running external operation and resume its task, or suppress duplicate wakes in polling.
SkillAFreshness: A★ 4Claude Code +9 - 0.608score
stolz-route
Sergey360
Choose a STOLZ optimization or instruction-security review when the required concern or adapter fallback is unclear.
SkillAFreshness: A★ 4Claude Code +9 - 0.606score
stolz-reuse
Sergey360
Admit an existing prior result or coalesce an identical in-flight command.
SkillAFreshness: A★ 4Claude Code +9 - 0.606score
stolz-context
Sergey360
Validate an existing STOLZ context manifest or read-ledger entry.
SkillAFreshness: A★ 4Claude Code +9 - 0.603score
stolz-benchmark
Sergey360
Admit or reject paired STOLZ efficiency evidence.
SkillAFreshness: A★ 4Claude Code +9
Signals
- Stars
- 4
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 5, 2026 (1 month ago)
- Last release
- Oct 13, 2026 (22 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Sergey360/stolz-ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Sergey360
- 0.611score
stolz-browser
Sergey360
Manage controlled browser tabs with deliberate reuse, ownership and lifecycle checks.
SkillAFreshness: A★ 4Claude Code +9 - 0.611score
stolz-guard
Sergey360
Review a prompt or a concrete instruction from untrusted content for security risks.
SkillAFreshness: A★ 4Claude Code +9 - 0.611score
stolz-mcp
Sergey360
Audit MCP context overhead or plan progressive tool discovery and code execution.
SkillAFreshness: A★ 4Claude Code +9 - 0.611score
stolz-quiet-state
Sergey360
Hand off a long-running external operation and resume its task, or suppress duplicate wakes in polling.
SkillAFreshness: A★ 4Claude Code +9 - 0.608score
stolz-route
Sergey360
Choose a STOLZ optimization or instruction-security review when the required concern or adapter fallback is unclear.
SkillAFreshness: A★ 4Claude Code +9 - 0.606score
stolz-reuse
Sergey360
Admit an existing prior result or coalesce an identical in-flight command.
SkillAFreshness: A★ 4Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get stolz-evidence running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
stolz-evidence skill. Agent Mart. https://agentmart.dev/skills/sergey360-stolz-evidence (last updated 2026-10-24)