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/leifericf/agentic-sdk/implement-changenpx skills add leifericf/agentic-sdk --skill implement-changegit clone --depth 1 https://github.com/leifericf/agentic-sdkWhat 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 | $0.00020 | $0.01553 |
| Opus 5 | $0.00010 | $0.00776 |
| Sonnet 5 | $0.00004 | $0.00311 |
| Haiku 4.5 | $0.00002 | $0.00155 |
Grade A, and why
implement-change 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
implement-change
Role: the phase driver. Builds one change or slice from spec to a review-clean linear stack on the tip, ready for the maintainer to land.
Prerequisites
~/.agentic-sdk/<project>/project.edn exists with :lanes and :vcs. A spec
(argument or conversation), or an approved feature plan to pick the next
slice.
Procedure
Conforms to skills/shared/references/orchestration.md (dispatch,
context budget, autonomy, resumption, runtime adaptation) and
skills/shared/references/worktree-model.md (topology, ordering law,
conflict law).
jj-first. Work is a linear stack of commits on the current tip; @ is
the working-copy commit (describe it, jj new to advance). No
development branches. The protected main line is a bookmark trailing the
tip, advanced only at land time by the maintainer. Never base work on
it: it forks history when main lags the tip.
- Initialize. Pick a slug. Start the next commit on the current
tip, never on the main bookmark:
jj newon the tip, thenjj describe -m "<slug>: <one-line summary>". The change is the next commit (or commits) on the stack, referenced by change id and description, not a bookmark. Hold the one-paragraph change summary in context for the rest of the run to cite. A long run may keep a minimal, gitignored resume checkpoint under~/.agentic-sdk/<project>/runs/<slug>/recording what is done (units landed, rounds completed, findings still open); never committed, never the hand-off medium. - Plan units. Scan the decision index (the ADR store from the descriptor) for records the spec touches first: a plan that contradicts an ADR goes to the maintainer before any dispatch. Record a real choice (where the rejected alternative was reasonable) via record-decision. With no explicit spec, the spec is the next runnable slice from the approved feature plan: respect the dependency graph, take its planned commits as the starting unit breakdown. Split the spec into units, each owning one module. Dispatch gather-module-context once per module for the whole phase and hold the brief, to embed into the writer dispatches in step 3 and every review-round-runner dispatch in step 6. Every unit gets a test unit and an implementation unit. State each unit's spec in three to six lines. Size every unit to one agent in one sitting: if it needs a second dispatch to finish, it was two units.
- Write. Test units first, implementation units second. Within
each wave, dispatch in module-batches: one batch is all modules with
independent work at that wave, run in parallel via the Agent tool.
Wait for the batch, collect the writers' returns (
LANDED <change-id>plus anyCHANGELOG:lines; hold both in context), then the next wave. Each dispatch prompt carries the unit's complete spec plus its module brief, self-contained so the writer never needs this session's context. The writer loads write- for the active language (write-c, write-zig, write-clj, write-elixir) or write-tests. Fan out where the runtime supports nested dispatch, else run inline per the adaptation rule in orchestration.md. - Integrate. Inline mode: writers committed in module order (leaf
modules first, then dependents, then the app or top-level
composition; tests before their implementations within each module),
nothing to fold. Worktree mode: fold each writer's change into the
stack in module order, tests before implementations. A
needs-cross-modulewriter becomes one fresh writer with the union of the cross-module work, folded in after, then continue. - Verify. One verifier on the stack running verify-lanes against the project's lanes (from the descriptor): the cheap tier on every unit. FAIL feeds back to an editor and re-verifies, twice max, then escalates and the round continues.
- Review rounds, capped at two. Dispatch one review-round-runner on the stack scope, embedding the per-module briefs from step 2 in its prompt. It runs run-review-round: fans out the active check-* dimensions over the scope, runs the spine triage task, dispatches editor waves by level via apply-findings, and re-verifies. Run a second round only if a high- or medium-severity correctness or security finding remains open after the first, or the phase touches three or more modules, a native edge between languages, or untrusted input. Never more than two. Low-severity and style-only findings a would-be third round would raise are not a new round: record them as forward tasks in the decisions log per the forward-only law. Each round returns exactly one summary line; hold those lines in context.
- Land. The history is already a linear stack on the tip; nothing
to restack. Update the changelog via write-changelog (if the project
keeps one; alpha/beta projects do not, and write-changelog returns
no line): create the
## Unreleasedheading if absent; append eachCHANGELOG:line the writers and round-runners returned, grouped by category prefix. Describe the change via write-commit. Then show the maintainer: the stack head, the commit list, the changelog diff (if any), the round summaries, and any escalations held. Advancing main is the maintainer's call: offer, do not assume. An autonomous run never advances main itself. On a yes, the maintainer advances the bookmark over the stack and pushes. A clean run can delete its resume checkpoint.
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 · 120 lines · 20 tokens per session scan A 9ffba397f993
implement-change is a skill published in the GitHub repository leifericf/agentic-sdk (5 stars, last pushed 13d ago), licensed MIT. It adds 20 tokens to every session and 1,553 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.