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/lwalden/aiagentminder/milestonenpx skills add lwalden/AIAgentMinder --skill milestonegit clone --depth 1 https://github.com/lwalden/AIAgentMinderWrote 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/lwalden/aiagentminder/milestone)<a href="https://agentmods.dev/skills/lwalden/aiagentminder/milestone"><img src="https://agentmods.dev/badge/skills/lwalden/aiagentminder/milestone.svg" alt="Measured on agentmods" 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 | $0.00006 | $0.01261 |
| Opus 5 | $0.00003 | $0.00630 |
| Sonnet 5 | $0.00001 | $0.00252 |
| Haiku 4.5 | $0.00001 | $0.00126 |
Grade A, and why
milestone 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 5d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/aiagentminder:milestone - Project Health Assessment
Run a milestone health check to assess whether the project is on track. This is the "project standup" that solo developers don't have — a periodic review of scope, progress, complexity, and known debt.
Run this at sprint boundaries, at phase transitions, or any time you want a clear picture of where the project stands.
Step 1: Gather Context
Read the following:
docs/strategy-roadmap.md— current phase, MVP features, out-of-scope items, phase timelineDECISIONS.md— original stack and architecture decisions; also read the## Known Debtsection if presentSPRINT.md— current sprint status (if active); archived sprint lines for sprint sizing data- Use TaskList to get current task states
- Recent git log:
git log --oneline -20— what has been merged recently - File count and largest files:
(adjust extensions for the project stack; on Windows use# Cross-platform file count (excluding .git) find . -type f -not -path './.git/*' | wc -l # Largest source files find . -name "*.ts" -o -name "*.js" -o -name "*.py" -o -name "*.go" -o -name "*.rs" | xargs wc -l 2>/dev/null | sort -rn | head -5Get-ChildItem -Recurse -File | Measure-Object) - Dependencies: read
package.json,pyproject.toml,go.mod,Cargo.toml, or equivalent
Step 2: Assess Each Dimension
A. Phase Progress
- Which phase is declared in the roadmap?
- What MVP features are complete (have merged PRs), in progress, or not started?
- Is there non-MVP work that was done while MVP features remain unstarted? (scope drift signal)
- What percentage of Phase 1 features are done?
B. Timeline Health
- What is the declared target date or phase duration from the roadmap?
- Based on the pace of recent merged work, is the project on track?
- Are there open blockers or unresolved questions that threaten the timeline?
C. Scope Drift
- Were any features added to the sprint or codebase that aren't in the roadmap?
- Did any approved issue expand significantly beyond its original scope?
- Check SPRINT.md scope additions if present.
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.
- 5d ago First seen · 121 lines · 6 tokens per session scan A 91d4c389f0a3
milestone is a skill published in the GitHub repository lwalden/AIAgentMinder (4 stars, last pushed 1mo ago), licensed MIT. It adds 6 tokens to every session and 1,261 once invoked, about $0.0000 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
sdd-serve
Serve the SDD Builder's AI request queue: claim requests with sddnextrequest, draft the proposal, answer with sddrespondrequest. Never writes spec files — the user accepts each proposal in the builder. Use when the user asks to attend, serve or listen to the SDD board queue. / Atiende la cola de peticiones del SDD…
sdd-workflow
Guide a project with Spec-Driven Development (SDD) discipline - idea, approved spec, consistent plan, tasks, a gate that verifies approval and consent, implementation, validation, and logbook. Bilingual EN/ES. Use when the user wants to start, spec, plan, implement, or validate work with SDD, or mentions specs, plans…
metrics-instrumentation
Specification for instrumenting an opik-backend workflow with operational OpenTelemetry metrics — per-stage throughput/latency/error counters and native histograms, dimensioned per-customer (workspace). Use when a pipeline (scoring, ingestion, experiments, jobs) needs per-stage visibility. Covers metric emission only…
notifications
Send notifications through the unified notification router.
vellum-skills-catalog
Discover bundled skills and search/install community skills from the skills.sh registry.
prompt-engineer
Prompt engineering expert for chain-of-thought, few-shot learning, evaluation, and LLM optimization.