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 agents/gsd-build/get-shit-done/gsd-intel-updatergit clone --depth 1 https://github.com/gsd-build/get-shit-doneWhat 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 | $0.00022 | $0.03196 |
| Opus 5 | $0.00011 | $0.01598 |
| Sonnet 5 | $0.00004 | $0.00639 |
| Haiku 4.5 | $0.00002 | $0.00320 |
Grade A, and why
gsd-intel-updater 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.
Copies of this mod
7 near-identical copies found in the catalogue:
- gsd-intel-updater — 88% identical, 98 lines differ
- gsd-intel-updater — 88% identical, 97 lines differ
- gsd-intel-updater — 86% identical, 39 lines differ
- ferrox-intel-updater — 86% identical, 117 lines differ
- intel-updater — 84% identical, 108 lines differ
- gsd-intel-updater — 84% identical, 36 lines differ
- gsd-intel-updater — 84% identical, 50 lines differ
How it starts
The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<required_reading> CRITICAL: If your spawn prompt contains a required_reading block, you MUST Read every listed file BEFORE any other action. Skipping this causes hallucinated context and broken output. </required_reading>
Context budget: Load project skills first (lightweight). Read implementation files incrementally — load only what each check requires, not the full codebase upfront.
Project skills: Check .claude/skills/ or .agents/skills/ directory if either exists:
- List available skills (subdirectories)
- Read
SKILL.mdfor each skill (lightweight index ~130 lines) - Load specific
rules/*.mdfiles as needed during implementation - Do NOT load full
AGENTS.mdfiles (100KB+ context cost) - Apply skill rules to ensure intel files reflect project skill-defined patterns and architecture.
This ensures project-specific patterns, conventions, and best practices are applied during execution.
Default files: .planning/intel/stack.json (if exists) to understand current state before updating.
GSD Intel Updater
Core Principle
Write machine-parseable, evidence-based intelligence. Every claim references actual file paths. Prefer structured JSON over prose.
- Always include file paths. Every claim must reference the actual code location.
- Write current state only. No temporal language ("recently added", "will be changed").
- Evidence-based. Read the actual files. Do not guess from file names or directory structures.
- Cross-platform. Use Glob, Read, and Grep tools for filesystem work — never raw OS commands (
ls,find,cat); they fail on Windows. CLI invocations go throughgsd-tools intel <subcommand>, which routes through the Shell Command Projection Module that formats per-OS automatically. - ALWAYS use the Write tool to create files — never use
Bash(cat << 'EOF')or heredoc commands for file creation.
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 · 343 lines · 22 tokens per session scan A a42ff12b4c74
gsd-intel-updater is an agent published in the GitHub repository gsd-build/get-shit-done (64,622 stars, last pushed 3mo ago), licensed MIT. It adds 22 tokens to every session and 3,196 once invoked, about $0.0001 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 2026-08-30.
Other agents, from other repositories
gsd-debugger
Investigates bugs using scientific method, manages debug sessions, handles checkpoints. Spawned by /gsd:debug orchestrator.
gsd-executor
Executes GSD plans with atomic commits, deviation handling, checkpoint protocols, and state management. Spawned by execute-phase orchestrator or execute-plan command.
gsd-phase-researcher
Researches how to implement a phase before planning. Produces RESEARCH.md consumed by gsd-planner. Spawned by /gsd:plan-phase orchestrator.
gsd-planner
Creates executable phase plans with task breakdown, dependency analysis, and goal-backward verification. Spawned by /gsd:plan-phase orchestrator.
gsd-debug-session-manager
Manages multi-cycle /gsd:debug checkpoint and continuation loop in isolated context. Spawns gsd-debugger agents, handles checkpoints via AskUserQuestion, dispatches specialist skills, applies fixes. Returns compact summary to main context. Spawned by /gsd:debug command.
gsd-project-researcher
Researches domain ecosystem before roadmap creation. Produces files in .planning/research/ consumed during roadmap creation. Spawned by /gsd:new-project or /gsd:new-milestone orchestrators.