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 stark-ai-de/agent-skills --skill agent-context-bootstrapgit clone --depth 1 https://github.com/stark-ai-de/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/stark-ai-de/agent-skills/agent-context-bootstrap)<a href="https://agentmods.dev/skills/stark-ai-de/agent-skills/agent-context-bootstrap"><img src="https://agentmods.dev/badge/skills/stark-ai-de/agent-skills/agent-context-bootstrap/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/stark-ai-de/agent-skills/agent-context-bootstrap"><img src="https://agentmods.dev/badge/skills/stark-ai-de/agent-skills/agent-context-bootstrap.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 | $0.00054 | $0.01242 |
| Opus 5 | $0.00027 | $0.00621 |
| Sonnet 5 | $0.00011 | $0.00248 |
| Haiku 4.5 | $0.00005 | $0.00124 |
Grade A, and why
agent-context-bootstrap 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 8d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Context Bootstrap
Goal
Create or improve repo-local agent context so future agents can work from the repository's real commands, docs, issue tracker rules, domain language, ADRs, validation commands, and skill routing without overwriting existing instructions.
When to use
- A repository lacks
AGENTS.mdor agent-facing docs. - The user wants Codex, Claude Code, Cursor, or another agent to follow local workflow rules.
- A repo needs issue tracker notes, triage labels, domain docs, ADR locations, or validation commands documented.
- A downstream repo needs predictable first-run agent setup before using workflow skills.
When not to use
- The user only wants a one-time handoff; use
handoff. - The user wants a repo health report without changing context files; use
repo-health-audit. - The repository already has clear agent instructions and the user did not ask for edits.
- The user wants to publish a skill catalog; use
skill-repo-curator.
Inputs to inspect
- Existing
AGENTS.md,CLAUDE.md,.codex/,.cursor/,CONTEXT.md,CONTEXT-MAP.md, and docs files. README.md, package files, validation scripts, CI workflows, issue templates, labels, and.github/.docs/adr/, architecture docs, domain docs, and existingdocs/agents/.- Maintainer-provided issue tracker, triage labels, validation commands, runtime conventions, and domain-specific workflow notes.
git status --shortbefore editing.
Workflow
- Inspect current agent instructions and docs before proposing edits.
- Infer what is safe from repo files: package manager, validation scripts, ADR location, CI commands, issue templates, and existing domain docs.
- Ask for maintainer input only when the repo cannot answer a hard setup decision: issue tracker, live label names, domain glossary location, validation command, or agent runtime convention.
- Create or update
docs/agents/issue-tracker.md,docs/agents/triage-labels.md,docs/agents/domain-docs.md,docs/agents/validation.md, anddocs/agents/skill-routing.md. - Add or update an
## Agent skillsblock in the primary agent instruction file, usuallyAGENTS.md. - Preserve existing user instructions and never overwrite unrelated sections.
- Validate links, formatting, and available repo checks.
What ships with it
7 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.
- 8d ago First seen · 126 lines · 54 tokens per session scan A d58a05a8a9a5
agent-context-bootstrap is a skill published in the GitHub repository stark-ai-de/agent-skills (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 54 tokens to every session and 1,242 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
openlore-brainstorm
Transform a feature idea into an annotated story using a Domain Sketch or Constrained Option Tree. Use when asked to brainstorm, explore, or shape a feature before implementation.
openlore-debug
Debug with OpenLore structural context, an explicit root-cause hypothesis, and RED/GREEN verification. Use when a bug, failure, or regression needs diagnosis and repair.
openlore-execute-refactor
Apply a confirmed .openlore/refactor-plan.md with a test gate after each change. Use when asked to execute or continue an OpenLore refactoring plan.
openlore-implement-story
Implement a brownfield story with OpenLore orientation, risk checks, spec validation, tests, and drift detection. Use when asked to implement or continue a story in an existing codebase.
openlore-plan-refactor
Identify a high-priority refactoring target, assess its blast radius, and write .openlore/refactor-plan.md without changing code. Use when asked to plan or prioritize a refactor.
openlore-write-tests
Write and run real tests for a function or spec scenario after reading implementation and contract evidence. Use when asked to add, improve, or repair tests without stubs or placeholders.