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 commands/martybonacci/specswarm/plangit clone --depth 1 https://github.com/MartyBonacci/specswarmWhat 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 | $0.00014 | $0.04215 |
| Opus 5 | $0.00007 | $0.02107 |
| Sonnet 5 | $0.00003 | $0.00843 |
| Haiku 4.5 | $0.00001 | $0.00421 |
Grade A, and why
plan 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 2d 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 — 458 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Outline
-
Discover Feature Context:
a. Find Repository Root and Initialize Features Directory:
REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || pwd) # Source features location helper SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" PLUGIN_DIR="$(dirname "$SCRIPT_DIR")" source "$PLUGIN_DIR/lib/features-location.sh" # Initialize features directory (handles migration if needed) get_features_dir "$REPO_ROOT"b. Get Current Feature:
BRANCH=$(git rev-parse --abbrev-ref HEAD 2>/dev/null) FEATURE_NUM=$(echo "$BRANCH" | grep -oE '^[0-9]{3}') # Fallback for non-git if [ -z "$FEATURE_NUM" ]; then FEATURE_NUM=$(list_features "$REPO_ROOT" | grep -oE '^[0-9]{3}' | sort -nr | head -1) fic. Locate Feature Directory:
find_feature_dir "$FEATURE_NUM" "$REPO_ROOT" # FEATURE_DIR is now set by find_feature_dird. Set Path Variables:
FEATURE_SPEC="${FEATURE_DIR}/spec.md" IMPL_PLAN="${FEATURE_DIR}/plan.md" RESEARCH_FILE="${FEATURE_DIR}/research.md" DATA_MODEL_FILE="${FEATURE_DIR}/data-model.md" CONTRACTS_DIR="${FEATURE_DIR}/contracts"e. Validate Prerequisites:
- Check that
spec.mdexists - If missing: ERROR "No specification found. Run
/specifyfirst."
- Check that
-
Load context:
- Read FEATURE_SPEC (spec.md)
- Read
.specswarm/constitution.mdif it exists - Check for
.specswarm/tech-stack.md - Load plan template from
templates/plan-template.mdor use embedded template
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.
- 2d ago First seen · 458 lines · 14 tokens per session scan A ec97f511a8ee
plan is a command published in the GitHub repository MartyBonacci/specswarm (65 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 4,215 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 commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.