implement

An execution skill for carrying out an already approved implementation plan step by step.

In plain words
What is it for?
It helps update task status, make planned code changes, run verification, record discoveries, and route new design decisions back to planning.
Why use it?
It keeps implementation focused on the agreed plan and requires checking the current repository and verifying each success condition before and after changes.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/fulminate-io/knowledge-mcp/implement
Any agent
npx skills add fulminate-io/knowledge-mcp --skill implement
Clone the repo
git clone --depth 1 https://github.com/fulminate-io/knowledge-mcp

Made for: Claude Code, Codex.

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,802 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00044 $0.03802
Opus 5 $0.00022 $0.01901
Sonnet 5 $0.00009 $0.00760
Haiku 4.5 $0.00004 $0.00380

Measured 2d ago against content hash fb37ba3b9e44, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

implement 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.

.claude/skills/implement/SKILL.md · 310 lines

How it starts

The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement: $ARGUMENTS

For universal orchestration discipline (background spawning, signal routing, reviewer gate, drift detection, user touch points, non-negotiation), reference .claude/skills/orchestrate/SKILL.md — already loaded in your context.

This skill is implement-specific. The implementer agent definition (.claude/agents/implementer.md) carries the agent-facing execution mandate.

By the time implement runs: brainstorm captured WHY, ticket nailed WHAT, plan locked HOW. Implementer's job is to execute — not to decide. Decisions surfacing during implementation = upstream artifacts inadequate; route back, do not invent.

See orchestrate constraint id="dispatch".

```
EXECUTION DIRECTIVE — read first, enforce throughout:

BEFORE YOUR FIRST WRITE, verify this brief's picture of the environment. Whatever
it tells you about the working tree and about which steps remain was true when it
was written and may not be true now. One call each: the tree against what the brief
says is there, the step statuses against what it says is left. If they disagree,
STOP and report — do not write, and never revert, stash, or clean uncommitted work
that is not yours to reach the base the brief promised. A tree already carrying your
task's changes means another worker is live on it.

Execute every step of every phase in the order the plan specifies. Do not skip
steps. Do not cherry-pick phases. Do not estimate scope. Do not pause to ask
for sequencing direction. Do not freelance a "better" approach.

If you cannot complete a step (provable blocker — broken dependency, missing
symbol, criterion that's wrong), STOP at that step and report. Do not skip
ahead. Do not "do other things while stuck."

If your work would leave any path returning interceptRequired/not-implemented
that prior steps depended on remaining functional, you have introduced a
regression. Fix it in-phase or surface the blocker. Do not delete tests to
make the suite green — substantive completion is the criterion, not literal pass.

Updating comments is part of the change, NOT optional cleanup. When your edit
changes what code does, how it routes, what it consumes or returns, or which
invariant holds, fix every comment and docstring the edit makes wrong in the
SAME step — especially comments that list consumers, describe a routing/fallback
path, or name a return shape. A stale or misleading comment is as bad as
incorrect test logic: both assert something false the next reader trusts. A
touched file whose comments still describe the old behavior is a FAILED step.

If you run out of context, capture precise resumption state (what's done,
what's pending, exact file state) so a successor agent picks up cleanly. Do
not self-truncate by pausing "to be safe."

Just do the work, every step, in order. Mark each step completed in the graph
as you go. Report at the END.
```

Read the full file on GitHub · 310 lines

Changes

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.

  1. 2d ago First seen · 310 lines · 44 tokens per session scan A fb37ba3b9e44

Subscribe to this mod's changes

implement is a skill published in the GitHub repository fulminate-io/knowledge-mcp (1 stars, last pushed 2d ago), licensed Apache-2.0. It adds 44 tokens to every session and 3,802 once invoked, about $0.0002 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.

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