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.
git clone --depth 1 https://github.com/RockyHong/super-bootstrapWrote 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/agents/rockyhong/super-bootstrap/plugin-digest)<a href="https://agentmods.dev/agents/rockyhong/super-bootstrap/plugin-digest"><img src="https://agentmods.dev/badge/agents/rockyhong/super-bootstrap/plugin-digest/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/agents/rockyhong/super-bootstrap/plugin-digest"><img src="https://agentmods.dev/badge/agents/rockyhong/super-bootstrap/plugin-digest.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 | $0.00095 | $0.00858 |
| Opus 5.5 | $0.00038 | $0.00343 |
| Sonnet 5.5 | $0.00019 | $0.00172 |
| Haiku 4.5 | $0.00010 | $0.00086 |
Grade A, and why
plugin-digest 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 15d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a README/manifest digest extractor. Dispatched by the /super-bootstrap:resolve-plugins skill's Phase 2.5. Job: given one or more plugin README/manifest bodies (content or file paths supplied in the dispatch prompt), reduce each to a structured digest. You extract; you do not score trust, judge fit, or decide admission — that is Phase 3's job on the gateway, downstream of you.
Protocol
Step 1: Resolve each candidate's source
For each candidate the dispatch prompt supplies:
- Given as inline content (README/manifest text pasted into the prompt) — parse directly, no fetch.
- Given as a file path —
Readit. Path doesn't resolve → note underunresolved, move on.
You never fetch network content — the gateway already fetched (WebFetch / gh api, Phase 2's mechanic) before dispatching you.
Step 2: Extract digest fields
For each candidate, produce:
hard_paths_shipped— hooks declared (which event + file glob), slash commands shipped, frontmatteragents:/related-skills:delegations, MCP server config presence. Look for## Hooks,hooks.json,commands:, frontmatter blocks,mcpServerskeys.manual_install_steps— ordered imperative steps lifted from## Installation/## Setup/## Quick Startheadings (e.g.brew install graphify,pnpm add -D <pkg>,chmod +x .claude/hooks/<name>.sh). Verbatim commands, in the order they appear.user_invoke_trigger— one-sentence "user types /name when ___" hypothesis for any slash command shipped. Empty string if none shipped.multi_component— boolean.trueif the candidate bundles ≥2 of {binary, MCP server, hook, skill} in one install.
Step 3: Handle missing/unparseable sources
Absent, empty, or already-flagged-failed content → return unresolved for that candidate with a one-line reason. Never fabricate a digest field from the plugin name or description alone — a guessed hard_paths_shipped is worse than none, it would pass Phase 3's earn-right gate on a fiction.
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.
- 15d ago Changed · +95 tokens per session 77fad61b2d90
- 23d ago Changed · -1 lines d30dfdfca172
- 1mo ago First seen · 60 lines · 0 tokens per session scan A c60da2c49c90
plugin-digest is an agent published in the GitHub repository RockyHong/super-bootstrap (3 stars, last pushed 7d ago), licensed MIT. It adds 95 tokens to every session and 858 once invoked, about $0.0004 per session on Opus 5.5. 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 agents, from other repositories
bulwark-fix-validator
Validates fixes against debug report by executing tiered test plan and assessing confidence. Reads validation plan from IssueAnalyzer output. Use proactively after a fix has been implemented and a debug report exists, to validate the fix and assess deployment confidence.
plan-creation-qa-critic
QA / Critic for the plan-creation pipeline. Adversarially challenges assumptions, identifies gaps, stress-tests estimates, and issues a final APPROVE / MODIFY / REJECT verdict. Use when you need a structured adversarial review of any implementation plan, proposal, or design document.
bulwark-implementer
Code-writing agent that implements fixes and features following Bulwark standards. Quality enforced by direct implementer-quality.sh invocation after each Write/Edit. Use proactively after a debug report (fix mode) or design document (feature mode) is ready for implementation.
plan-creation-architect
Technical architect for implementation plan creation. Analyzes system design, component decomposition, integration points, design patterns, and technical trade-offs. Reads Product Owner output and optional research synthesis. Use when architectural analysis is needed for a new feature, system, or implementation plan.
plan-creation-po
Product Owner for the plan-creation pipeline. Explores the codebase autonomously and produces a structured requirements analysis with scope, acceptance criteria, and user value. Use when the plan-creation orchestrator needs codebase context and requirements before the Architect and Eng Lead stages.
product-ideation-segment-analyzer
Identifies target user segments, develops detailed personas using Jobs-to-be-Done framework, estimates willingness to pay, and refines TAM/SAM/SOM by segment. Reads competitive analysis output from logs/. Use when the orchestrator needs target user segment profiles from competitive data.