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 agentmods add skills/evolvehq/docflow/bootstrapnpx skills add EvolveHQ/docflow --skill bootstrapgit clone --depth 1 https://github.com/EvolveHQ/docflowWhat 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 | $0.00118 | $0.08604 |
| Opus 5 | $0.00059 | $0.04302 |
| Sonnet 5 | $0.00024 | $0.01721 |
| Haiku 4.5 | $0.00012 | $0.00860 |
Grade A, and why
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 yesterday.
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 — 611 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bootstrap
You are installing (or retrofitting) a documentation-led convention set in the current repo. The end state is a repo that can be driven by both humans and coding agents off a small set of canonical files. Carry over the mechanism described here — nothing about any other project.
Step 1 — Detect the situation
Inspect the repo before asking anything.
- Fresh repo (no source, no docs): you are scaffolding from zero.
- Existing repo: you are retrofitting.
- Read any current
README.md,CONTRIBUTING.md,AGENTS.md,CLAUDE.md,docs/,adr/,.github/before proposing changes. - Preserve existing content. Merge, don't overwrite. If existing conventions conflict with the ones below, surface the conflict in your assessment summary.
- If ADRs already exist in another format, propose a migration plan (renumber, keep, translate) rather than creating a parallel tree.
- Read any current
- Already a docflow repo (carries
AGENTS.md+CONVENTIONS.md+ an ADR catalogue): you are adding to an existing setup, not scaffolding. Do not re-scaffold the core or re-ask settled questions — read the recorded choices fromCONVENTIONS.md/AGENTS.md(ADR shape, status lifecycle, artefact root, multi-agent mode, and which optional layers already exist). Then offer to enable any opted-out optional layer still absent —plan/,_agent/,GLOSSARY.md,domains/, or the technology-ADR template/split — and write only the chosen ones, by merge, under the recorded artefact root, leaving everything else untouched. Ask only the questions the new layers need (e.g. the coordination-mode question when enabling_agent/). This is the entry point for adding a layer you deferred at first bootstrap.
State which situation applies in one line before asking the assessment questions.
Step 2 — Target layout
<repo>/
AGENTS.md # hard rules for coding agents — entry point
CLAUDE.md # one-liner: @AGENTS.md
README.md # human-facing project summary (preserve if exists)
CONVENTIONS.md # authoring rules: ADRs, naming, status, audit, git
INDEX.md # generated table of all ADRs
GLOSSARY.md # shared terms (optional — see Q7)
adr/
0000-template.md # capability-ADR template (always)
NNNN-template.md # technology-ADR template (only if split — see Q2)
NNNN-<kebab-slug>.md # one ADR per decision, contiguous numbering
domains/<slug>/README.md # optional (see Q7)
plan/
README.md
todo/NNNN-<slug>.md
done/<YYYY-MM-DD>-<slug>.md
_agent/
ROLES.md # named agents and what each owns
LOCKS.md # file-claim ledger
WORKLOG.md # append-only ship log
CURRENT_FOCUS.md # slim live snapshot
HANDOFF.md # fresh-agent entry point
prompts/autonomous.md # only if a verify gate exists (see Q8)
federation.md # multi-repo only (Q11): this repo's back-pointer
federation-index.md # multi-repo only (Q11): member index — home repo only
What ships with it
17 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.
- agents/openai.yaml 302 B
- templates/_agent-CURRENT_FOCUS.md 884 B
- templates/_agent-HANDOFF.md 1.1 KB
- templates/_agent-IN_FLIGHT.md 1.1 KB
- templates/_agent-LOCKS.md 567 B
- templates/_agent-prompts-autonomous.md 3.9 KB
- templates/_agent-ROLES.md 587 B
- templates/_agent-WORKLOG.md 549 B
- templates/adr-0001-seed.md 2.8 KB
- templates/adr-capability.md 1.1 KB
- templates/adr-technology.md 1.4 KB
- templates/AGENTS.md 8.2 KB
- templates/CLAUDE.md 11 B
- templates/CONVENTIONS.md 14 KB
- templates/federation-config.md 1.1 KB
- templates/federation-index.md 1.1 KB
- templates/plan-README.md 1.6 KB
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.
- yesterday First seen · 611 lines · 118 tokens per session scan A 4dcb8b7cb637
bootstrap is a skill published in the GitHub repository EvolveHQ/docflow (10 stars, last pushed 27d ago), licensed MIT. It adds 118 tokens to every session and 8,604 once invoked, about $0.0006 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
adr-integration
This skill should be used when the user asks about "ADR integration", "ADR CI/CD", "ADR tooling", "ADR automation", "export ADRs", "ADR documentation site", or needs guidance on integrating ADRs with CI/CD, documentation sites, and other tools.
adr-format-structured-madr
This skill should be used when the user asks about "structured MADR", "structured-madr", "frontmatter ADR", "comprehensive ADR", "auditable ADR", or needs guidance on creating ADRs using the Structured MADR format with YAML frontmatter and audit sections.
adr-decision-drivers
This skill should be used when the user asks about "decision drivers", "architectural forces", "quality attributes", "how to identify trade-offs", "non-functional requirements for ADRs", or needs help identifying, documenting, and weighing the forces that influence architectural decisions.
adr-fundamentals
This skill should be used when the user asks "what is an ADR", "when should I create an ADR", "ADR best practices", "architecture decision records", "ADR lifecycle", "how to document architecture decisions", or needs guidance on ADR fundamentals, when to create ADRs, or ADR lifecycle management.
adr-quality
This skill should be used when the user asks about "ADR quality", "review ADR", "ADR checklist", "improve ADR", "ADR validation", "good ADR examples", or needs guidance on evaluating, improving, and maintaining high-quality architectural decision records.
adr-compliance
This skill should be used when the user asks about "ADR compliance", "architecture compliance", "ADR audit", "enforce ADRs", "check code against ADRs", "ADR violations", or needs guidance on auditing code compliance with accepted architectural decision records.