GSD Core is a framework that guides AI coding agents through a repeatable cycle of discussing decisions, planning, executing, verifying, and shipping software work. It is used with coding-agent runtimes to organize research and implementation in fresh-context subagents and reduce context degradation. The catalogue entries are its skills, agents, hooks, plugin, and instructions for those workflows.
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 open-gsd/gsd-core --skill gsd-review-backloggit clone --depth 1 https://github.com/open-gsd/gsd-coreWrote 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/open-gsd/gsd-core/gsd-review-backlog)<a href="https://agentmods.dev/skills/open-gsd/gsd-core/gsd-review-backlog"><img src="https://agentmods.dev/badge/skills/open-gsd/gsd-core/gsd-review-backlog/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/open-gsd/gsd-core/gsd-review-backlog"><img src="https://agentmods.dev/badge/skills/open-gsd/gsd-core/gsd-review-backlog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00014 | $0.00747 |
| Opus 5.5 | $0.00006 | $0.00299 |
| Sonnet 5.5 | $0.00003 | $0.00149 |
| Haiku 4.5 | $0.00001 | $0.00075 |
Grade A, and why
gsd-review-backlog 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 3d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- review-backlog — 97% identical, 23 lines differ
- thrunt-review-backlog — 88% identical, 26 lines differ
What it actually says
Invoke this Pi skill with /skill:gsd-review-backlog.
Pi dispatch (fail closed). Pi has no built-in subagent API; GSD provides the gsd_dispatch tool. Where a workflow step dispatches a named gsd-* role, call gsd_dispatch with role (the installed role name) and task (the full task text). A workflow that still writes the step as an Agent(...) call means the same: its subagent_type is the role and its prompt is the task. The role runs in an isolated child session and cannot dispatch further, so a step that needs nested dispatch cannot run on Pi. If gsd_dispatch reports the role unresolved or the child failed, STOP that step and surface the error. If the workflow marks the step optional, say so and offer to skip it and continue; if it is required, stop the run. Never execute the role's work inline as a substitute.
Pi includes. Pi does not expand @path references in a skill. Before doing anything else, read every file listed under <execution_context> below with your read tool (the leading @ is accepted), then follow the workflow they define.
-
List backlog items:
_BACKLOG=( .planning/phases/999* ) if [ -e "${_BACKLOG[0]}" ]; then ls -d "${_BACKLOG[@]}"; else echo "No backlog items found"; fi -
Read ROADMAP.md and extract all 999.x phase entries:
cat .planning/ROADMAP.mdShow each backlog item with its description, any accumulated context (CONTEXT.md, RESEARCH.md), and creation date.
-
Present the list to the user via AskUserQuestion:
- For each backlog item, show: phase number, description, accumulated artifacts
- Options per item: Promote (move to active), Keep (leave in backlog), Remove (delete)
-
For items to PROMOTE:
- Find the next sequential phase number in the active milestone
- Rename the directory from
999.x-slugto{new_num}-slug:NEW_NUM=$(gsd-tools query phase.add "${DESCRIPTION}" --raw) - Move accumulated artifacts to the new phase directory
- Update ROADMAP.md: move the entry from
## Backlogsection to the active phase list - Remove
(BACKLOG)marker - Add appropriate
**Depends on:**field
-
For items to REMOVE:
- Delete the phase directory
- Remove the entry from ROADMAP.md
## Backlogsection
-
Commit changes:
gsd-tools query commit "docs: review backlog — promoted N, removed M" --files .planning/ROADMAP.md -
Report summary:
## 📋 Backlog Review Complete Promoted: {list of promoted items with new phase numbers} Kept: {list of items remaining in backlog} Removed: {list of deleted items}
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.
- 3d ago Changed 621ae35b8b45
- 4d ago Changed · -1 lines 29264f7abbe1
- 20d ago Changed a78e5507713e
- 26d ago Changed · +1 lines 62db6354522a
- 1mo ago Changed · +1 lines 82166eabf8a7
- 1mo ago First seen · 65 lines · 14 tokens per session scan A 064b3a0b7879
gsd-review-backlog is a skill published in the GitHub repository open-gsd/gsd-core (10,838 stars, last pushed today), licensed MIT. It adds 14 tokens to every session and 747 once invoked, about $0.0001 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 2026-09-03.
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